{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "load 30m poloniex data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:28:18.603311Z",
     "start_time": "2017-11-11T07:28:18.597894Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/media/oldhome/wassname/Documents/projects/rl-portfolio-gh/rl-portfolio-management\n"
     ]
    }
   ],
   "source": [
    "cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:28:19.435869Z",
     "start_time": "2017-11-11T07:28:18.739412Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# plotting\n",
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams[\"figure.figsize\"] = (11.5,6)\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "# numeric\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "import pandas as pd\n",
    "\n",
    "import glob\n",
    "\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "\n",
    "import os, json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:09.873608Z",
     "start_time": "2017-11-11T07:31:09.186834Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dfs=[]\n",
    "for infile in glob.glob('./data/poloniex_teachmehowtotrade/*.csv'):\n",
    "    df = pd.read_csv(infile)\n",
    "    \n",
    "    # date\n",
    "    df.index=pd.to_datetime(df.date*1e9)\n",
    "    del df['date']\n",
    "    # just the cols from jiang 2017\n",
    "    df = df[['close','high','low','open','volume','quoteVolume']]\n",
    "    df=df.resample('30T').first()\n",
    "    \n",
    "    # name cols\n",
    "    name = os.path.splitext(os.path.basename(infile))[0]\n",
    "#     df.columns = ['%s|%s'%(name,col) for col in df.columns]\n",
    "    df.name=name\n",
    "    \n",
    "    dfs.append(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T06:17:19.415705Z",
     "start_time": "2017-11-11T06:17:19.410331Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:09.881190Z",
     "start_time": "2017-11-11T07:31:09.875134Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('LTCBTC', Timestamp('2014-01-18 04:00:00', freq='30T')),\n",
       " ('DOGEBTC', Timestamp('2014-01-21 22:30:00', freq='30T')),\n",
       " ('DASHBTC', Timestamp('2014-02-07 20:30:00', freq='30T')),\n",
       " ('XMRBTC', Timestamp('2014-05-19 05:30:00', freq='30T')),\n",
       " ('XRPBTC', Timestamp('2014-08-14 03:30:00', freq='30T')),\n",
       " ('BTCUSDT', Timestamp('2015-02-19 19:00:00', freq='30T')),\n",
       " ('ETHBTC', Timestamp('2015-08-08 05:00:00', freq='30T')),\n",
       " ('ETHUSDT', Timestamp('2015-08-08 06:00:00', freq='30T')),\n",
       " ('ETCBTC', Timestamp('2016-07-24 04:00:00', freq='30T')),\n",
       " ('ETCETH', Timestamp('2016-07-24 04:30:00', freq='30T')),\n",
       " ('REPETH', Timestamp('2016-10-04 18:30:00', freq='30T')),\n",
       " ('REPBTC', Timestamp('2016-10-04 18:30:00', freq='30T')),\n",
       " ('GNTBTC', Timestamp('2017-02-18 03:30:00', freq='30T')),\n",
       " ('GNTETH', Timestamp('2017-02-18 03:30:00', freq='30T'))]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort by time lengths\n",
    "dfs.sort(key=lambda x:len(x), reverse=True)\n",
    "[(df.name,df.index[0]) for df in dfs]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:09.891018Z",
     "start_time": "2017-11-11T07:31:09.887625Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# # insert a fake one, the price of one bitcoin in bitcoin = 1\n",
    "# df=dfs[0].copy()\n",
    "# df[:]=1\n",
    "# df.name='BTCBTC'\n",
    "# dfs.insert(0,df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:10.313285Z",
     "start_time": "2017-11-11T07:31:09.953511Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2014-01-18 04:00:00', '2014-01-21 22:30:00', '2014-02-07 20:30:00', '2014-05-19 05:30:00']\n"
     ]
    }
   ],
   "source": [
    "# crop to ones with more data\n",
    "dfs1= [df for df in dfs if df.index.min()<pd.Timestamp('2014-07-01')]\n",
    "# dfs1= [df for df in dfs if df.index.min()<pd.Timestamp('2014-08-15')]\n",
    "# dfs1= [df for df in dfs if df.index.min()<pd.Timestamp('2015-08-09')]\n",
    "\n",
    "# also only ones that are in BTC\n",
    "dfs1= [df for df in dfs1 if df.name.endswith('BTC')]\n",
    "print([str(min(df.index)) for df in dfs1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:10.319734Z",
     "start_time": "2017-11-11T07:31:10.314956Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# something is wrong with DOGEBTC when I plot it, it has jumps and flat intervals everywhere, I think it might be a rounding error in the data\n",
    "blacklist = ['DOGEBTC', 'XRPBTC']\n",
    "dfs1 = [d for d in dfs1 if d.name not in blacklist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:10.329690Z",
     "start_time": "2017-11-11T07:31:10.321357Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "restricted from 14 to 3\n"
     ]
    }
   ],
   "source": [
    "print('restricted from', len(dfs), 'to', len(dfs1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:10.411825Z",
     "start_time": "2017-11-11T07:31:10.388014Z"
    }
   },
   "outputs": [],
   "source": [
    "# reindex\n",
    "mi = dfs1[0].index.copy()\n",
    "for i in range(len(dfs1)):\n",
    "    name = dfs1[i].name\n",
    "    dfs[i]=dfs1[i].reindex(mi, method='pad')\n",
    "    dfs[i][np.isnan(dfs[i])]=0\n",
    "    dfs[i].name = name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:10.641561Z",
     "start_time": "2017-11-11T07:31:10.552875Z"
    }
   },
   "outputs": [
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       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
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       "      <th>low</th>\n",
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       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
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       "    <tr>\n",
       "      <th>2014-01-18 10:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 11:00:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 11:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 12:00:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 12:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 13:00:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 13:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 14:00:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 14:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 15:00:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 15:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 16:00:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 16:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 17:00:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 17:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 18:00:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-18 18:30:00</th>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.028500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 09:00:00</th>\n",
       "      <td>0.019103</td>\n",
       "      <td>0.019238</td>\n",
       "      <td>0.019043</td>\n",
       "      <td>0.019215</td>\n",
       "      <td>102.001835</td>\n",
       "      <td>5328.738151</td>\n",
       "      <td>0.072300</td>\n",
       "      <td>0.072809</td>\n",
       "      <td>0.072012</td>\n",
       "      <td>0.072809</td>\n",
       "      <td>22.333296</td>\n",
       "      <td>308.698352</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016151</td>\n",
       "      <td>0.016220</td>\n",
       "      <td>16.447470</td>\n",
       "      <td>1014.826043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 09:30:00</th>\n",
       "      <td>0.019013</td>\n",
       "      <td>0.019128</td>\n",
       "      <td>0.019005</td>\n",
       "      <td>0.019103</td>\n",
       "      <td>115.373214</td>\n",
       "      <td>6051.922924</td>\n",
       "      <td>0.072481</td>\n",
       "      <td>0.072619</td>\n",
       "      <td>0.072300</td>\n",
       "      <td>0.072425</td>\n",
       "      <td>14.041970</td>\n",
       "      <td>194.101572</td>\n",
       "      <td>0.016214</td>\n",
       "      <td>0.016396</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>16.381883</td>\n",
       "      <td>1006.211103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 10:00:00</th>\n",
       "      <td>0.019098</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019000</td>\n",
       "      <td>0.019032</td>\n",
       "      <td>50.748214</td>\n",
       "      <td>2664.117231</td>\n",
       "      <td>0.071730</td>\n",
       "      <td>0.072584</td>\n",
       "      <td>0.071729</td>\n",
       "      <td>0.072481</td>\n",
       "      <td>23.715417</td>\n",
       "      <td>328.675688</td>\n",
       "      <td>0.016263</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016211</td>\n",
       "      <td>0.016214</td>\n",
       "      <td>5.879561</td>\n",
       "      <td>362.057572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 10:30:00</th>\n",
       "      <td>0.019193</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>35.057789</td>\n",
       "      <td>1829.450652</td>\n",
       "      <td>0.071670</td>\n",
       "      <td>0.072127</td>\n",
       "      <td>0.071585</td>\n",
       "      <td>0.071730</td>\n",
       "      <td>33.350912</td>\n",
       "      <td>465.074741</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>0.016367</td>\n",
       "      <td>0.016263</td>\n",
       "      <td>0.016279</td>\n",
       "      <td>6.862038</td>\n",
       "      <td>421.023648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 11:00:00</th>\n",
       "      <td>0.019300</td>\n",
       "      <td>0.019500</td>\n",
       "      <td>0.019193</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>181.517873</td>\n",
       "      <td>9369.638447</td>\n",
       "      <td>0.072920</td>\n",
       "      <td>0.072920</td>\n",
       "      <td>0.071670</td>\n",
       "      <td>0.071771</td>\n",
       "      <td>26.761725</td>\n",
       "      <td>369.510973</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016408</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>8.927679</td>\n",
       "      <td>544.949394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 11:30:00</th>\n",
       "      <td>0.019386</td>\n",
       "      <td>0.019455</td>\n",
       "      <td>0.019300</td>\n",
       "      <td>0.019300</td>\n",
       "      <td>110.352974</td>\n",
       "      <td>5691.409801</td>\n",
       "      <td>0.073171</td>\n",
       "      <td>0.073316</td>\n",
       "      <td>0.072640</td>\n",
       "      <td>0.072640</td>\n",
       "      <td>18.257227</td>\n",
       "      <td>249.933945</td>\n",
       "      <td>0.016490</td>\n",
       "      <td>0.016490</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016404</td>\n",
       "      <td>8.967660</td>\n",
       "      <td>545.666655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 12:00:00</th>\n",
       "      <td>0.019363</td>\n",
       "      <td>0.019492</td>\n",
       "      <td>0.019345</td>\n",
       "      <td>0.019386</td>\n",
       "      <td>87.880708</td>\n",
       "      <td>4528.467404</td>\n",
       "      <td>0.073020</td>\n",
       "      <td>0.073433</td>\n",
       "      <td>0.072867</td>\n",
       "      <td>0.073170</td>\n",
       "      <td>12.723900</td>\n",
       "      <td>173.851297</td>\n",
       "      <td>0.016433</td>\n",
       "      <td>0.016499</td>\n",
       "      <td>0.016365</td>\n",
       "      <td>0.016490</td>\n",
       "      <td>11.650610</td>\n",
       "      <td>709.466293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 12:30:00</th>\n",
       "      <td>0.019385</td>\n",
       "      <td>0.019388</td>\n",
       "      <td>0.019257</td>\n",
       "      <td>0.019345</td>\n",
       "      <td>66.806285</td>\n",
       "      <td>3454.094631</td>\n",
       "      <td>0.073400</td>\n",
       "      <td>0.073400</td>\n",
       "      <td>0.073020</td>\n",
       "      <td>0.073070</td>\n",
       "      <td>3.529383</td>\n",
       "      <td>48.274718</td>\n",
       "      <td>0.016441</td>\n",
       "      <td>0.016499</td>\n",
       "      <td>0.016353</td>\n",
       "      <td>0.016499</td>\n",
       "      <td>12.990767</td>\n",
       "      <td>792.119330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 13:00:00</th>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.019388</td>\n",
       "      <td>0.019086</td>\n",
       "      <td>0.019385</td>\n",
       "      <td>176.470996</td>\n",
       "      <td>9187.940454</td>\n",
       "      <td>0.073230</td>\n",
       "      <td>0.073500</td>\n",
       "      <td>0.073221</td>\n",
       "      <td>0.073400</td>\n",
       "      <td>14.243275</td>\n",
       "      <td>194.257627</td>\n",
       "      <td>0.016410</td>\n",
       "      <td>0.016437</td>\n",
       "      <td>0.016337</td>\n",
       "      <td>0.016437</td>\n",
       "      <td>5.833544</td>\n",
       "      <td>356.266861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 13:30:00</th>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019258</td>\n",
       "      <td>0.019135</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>53.844416</td>\n",
       "      <td>2805.453736</td>\n",
       "      <td>0.073168</td>\n",
       "      <td>0.073500</td>\n",
       "      <td>0.072830</td>\n",
       "      <td>0.073230</td>\n",
       "      <td>15.433198</td>\n",
       "      <td>210.906816</td>\n",
       "      <td>0.016351</td>\n",
       "      <td>0.016425</td>\n",
       "      <td>0.016334</td>\n",
       "      <td>0.016410</td>\n",
       "      <td>5.270448</td>\n",
       "      <td>321.593298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 14:00:00</th>\n",
       "      <td>0.019073</td>\n",
       "      <td>0.019202</td>\n",
       "      <td>0.019037</td>\n",
       "      <td>0.019202</td>\n",
       "      <td>120.209105</td>\n",
       "      <td>6299.759114</td>\n",
       "      <td>0.072918</td>\n",
       "      <td>0.073487</td>\n",
       "      <td>0.072800</td>\n",
       "      <td>0.073193</td>\n",
       "      <td>5.574882</td>\n",
       "      <td>76.360152</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>2.315221</td>\n",
       "      <td>141.803909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 14:30:00</th>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019036</td>\n",
       "      <td>0.019079</td>\n",
       "      <td>117.144992</td>\n",
       "      <td>6130.597254</td>\n",
       "      <td>0.072642</td>\n",
       "      <td>0.073489</td>\n",
       "      <td>0.072639</td>\n",
       "      <td>0.073000</td>\n",
       "      <td>3.633284</td>\n",
       "      <td>49.801619</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016377</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>1.577577</td>\n",
       "      <td>96.546480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 15:00:00</th>\n",
       "      <td>0.019214</td>\n",
       "      <td>0.019268</td>\n",
       "      <td>0.019150</td>\n",
       "      <td>0.019187</td>\n",
       "      <td>60.409080</td>\n",
       "      <td>3144.541587</td>\n",
       "      <td>0.072485</td>\n",
       "      <td>0.073480</td>\n",
       "      <td>0.072056</td>\n",
       "      <td>0.072642</td>\n",
       "      <td>26.060940</td>\n",
       "      <td>358.873489</td>\n",
       "      <td>0.016120</td>\n",
       "      <td>0.016392</td>\n",
       "      <td>0.016046</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>69.611434</td>\n",
       "      <td>4300.748677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 15:30:00</th>\n",
       "      <td>0.019110</td>\n",
       "      <td>0.019275</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019216</td>\n",
       "      <td>131.437257</td>\n",
       "      <td>6844.490092</td>\n",
       "      <td>0.071605</td>\n",
       "      <td>0.072485</td>\n",
       "      <td>0.071605</td>\n",
       "      <td>0.072298</td>\n",
       "      <td>66.840261</td>\n",
       "      <td>929.381259</td>\n",
       "      <td>0.016027</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.015992</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>40.700323</td>\n",
       "      <td>2537.211215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 16:00:00</th>\n",
       "      <td>0.019087</td>\n",
       "      <td>0.019186</td>\n",
       "      <td>0.018950</td>\n",
       "      <td>0.019110</td>\n",
       "      <td>352.480444</td>\n",
       "      <td>18463.961383</td>\n",
       "      <td>0.072035</td>\n",
       "      <td>0.072104</td>\n",
       "      <td>0.071100</td>\n",
       "      <td>0.071605</td>\n",
       "      <td>45.988777</td>\n",
       "      <td>644.390298</td>\n",
       "      <td>0.016020</td>\n",
       "      <td>0.016080</td>\n",
       "      <td>0.015960</td>\n",
       "      <td>0.016010</td>\n",
       "      <td>20.781892</td>\n",
       "      <td>1296.247685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 16:30:00</th>\n",
       "      <td>0.019220</td>\n",
       "      <td>0.019220</td>\n",
       "      <td>0.019085</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>71.181496</td>\n",
       "      <td>3718.401983</td>\n",
       "      <td>0.072100</td>\n",
       "      <td>0.072486</td>\n",
       "      <td>0.071455</td>\n",
       "      <td>0.072033</td>\n",
       "      <td>19.054083</td>\n",
       "      <td>264.591534</td>\n",
       "      <td>0.016030</td>\n",
       "      <td>0.016100</td>\n",
       "      <td>0.016002</td>\n",
       "      <td>0.016070</td>\n",
       "      <td>22.931610</td>\n",
       "      <td>1427.026698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 17:00:00</th>\n",
       "      <td>0.019203</td>\n",
       "      <td>0.019245</td>\n",
       "      <td>0.019101</td>\n",
       "      <td>0.019220</td>\n",
       "      <td>104.015164</td>\n",
       "      <td>5418.887416</td>\n",
       "      <td>0.072656</td>\n",
       "      <td>0.072656</td>\n",
       "      <td>0.071630</td>\n",
       "      <td>0.072100</td>\n",
       "      <td>16.594045</td>\n",
       "      <td>229.660914</td>\n",
       "      <td>0.016229</td>\n",
       "      <td>0.016232</td>\n",
       "      <td>0.016115</td>\n",
       "      <td>0.016115</td>\n",
       "      <td>10.652046</td>\n",
       "      <td>658.748194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 17:30:00</th>\n",
       "      <td>0.019021</td>\n",
       "      <td>0.019194</td>\n",
       "      <td>0.018983</td>\n",
       "      <td>0.019180</td>\n",
       "      <td>114.901113</td>\n",
       "      <td>6023.751955</td>\n",
       "      <td>0.072889</td>\n",
       "      <td>0.073760</td>\n",
       "      <td>0.072511</td>\n",
       "      <td>0.072635</td>\n",
       "      <td>26.669919</td>\n",
       "      <td>364.394455</td>\n",
       "      <td>0.016057</td>\n",
       "      <td>0.016232</td>\n",
       "      <td>0.016030</td>\n",
       "      <td>0.016218</td>\n",
       "      <td>17.885425</td>\n",
       "      <td>1106.663222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 18:00:00</th>\n",
       "      <td>0.019112</td>\n",
       "      <td>0.019112</td>\n",
       "      <td>0.018986</td>\n",
       "      <td>0.019045</td>\n",
       "      <td>61.162994</td>\n",
       "      <td>3211.881872</td>\n",
       "      <td>0.072943</td>\n",
       "      <td>0.073016</td>\n",
       "      <td>0.072492</td>\n",
       "      <td>0.072610</td>\n",
       "      <td>24.627536</td>\n",
       "      <td>338.062082</td>\n",
       "      <td>0.016128</td>\n",
       "      <td>0.016157</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016038</td>\n",
       "      <td>13.959773</td>\n",
       "      <td>868.051721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 18:30:00</th>\n",
       "      <td>0.019124</td>\n",
       "      <td>0.019174</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019090</td>\n",
       "      <td>103.732512</td>\n",
       "      <td>5425.850165</td>\n",
       "      <td>0.072984</td>\n",
       "      <td>0.073311</td>\n",
       "      <td>0.072563</td>\n",
       "      <td>0.072563</td>\n",
       "      <td>18.240710</td>\n",
       "      <td>250.051087</td>\n",
       "      <td>0.016389</td>\n",
       "      <td>0.016399</td>\n",
       "      <td>0.016100</td>\n",
       "      <td>0.016110</td>\n",
       "      <td>35.339157</td>\n",
       "      <td>2182.164699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 19:00:00</th>\n",
       "      <td>0.019095</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019070</td>\n",
       "      <td>0.019124</td>\n",
       "      <td>50.057990</td>\n",
       "      <td>2615.336480</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.073138</td>\n",
       "      <td>0.072381</td>\n",
       "      <td>0.072984</td>\n",
       "      <td>18.109848</td>\n",
       "      <td>249.073822</td>\n",
       "      <td>0.016366</td>\n",
       "      <td>0.016488</td>\n",
       "      <td>0.016300</td>\n",
       "      <td>0.016300</td>\n",
       "      <td>30.539915</td>\n",
       "      <td>1862.691421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 19:30:00</th>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019125</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>62.455953</td>\n",
       "      <td>3276.442735</td>\n",
       "      <td>0.071898</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.071570</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>25.484479</td>\n",
       "      <td>354.450981</td>\n",
       "      <td>0.016305</td>\n",
       "      <td>0.016488</td>\n",
       "      <td>0.016305</td>\n",
       "      <td>0.016362</td>\n",
       "      <td>31.107351</td>\n",
       "      <td>1895.337919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 20:00:00</th>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019130</td>\n",
       "      <td>0.019000</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>57.416039</td>\n",
       "      <td>3013.924077</td>\n",
       "      <td>0.071810</td>\n",
       "      <td>0.072320</td>\n",
       "      <td>0.071586</td>\n",
       "      <td>0.071586</td>\n",
       "      <td>5.415996</td>\n",
       "      <td>75.298057</td>\n",
       "      <td>0.016180</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016175</td>\n",
       "      <td>0.016341</td>\n",
       "      <td>24.475405</td>\n",
       "      <td>1504.283095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 20:30:00</th>\n",
       "      <td>0.019266</td>\n",
       "      <td>0.019280</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019130</td>\n",
       "      <td>54.247496</td>\n",
       "      <td>2826.468409</td>\n",
       "      <td>0.072315</td>\n",
       "      <td>0.072750</td>\n",
       "      <td>0.071727</td>\n",
       "      <td>0.072091</td>\n",
       "      <td>17.284449</td>\n",
       "      <td>238.635277</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016380</td>\n",
       "      <td>0.016220</td>\n",
       "      <td>0.016318</td>\n",
       "      <td>10.557378</td>\n",
       "      <td>646.264376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 21:00:00</th>\n",
       "      <td>0.019344</td>\n",
       "      <td>0.019382</td>\n",
       "      <td>0.019224</td>\n",
       "      <td>0.019280</td>\n",
       "      <td>131.677025</td>\n",
       "      <td>6816.243889</td>\n",
       "      <td>0.072148</td>\n",
       "      <td>0.072690</td>\n",
       "      <td>0.072067</td>\n",
       "      <td>0.072315</td>\n",
       "      <td>8.701756</td>\n",
       "      <td>120.286405</td>\n",
       "      <td>0.016360</td>\n",
       "      <td>0.016425</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016379</td>\n",
       "      <td>2.052379</td>\n",
       "      <td>125.407612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 21:30:00</th>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019365</td>\n",
       "      <td>0.019110</td>\n",
       "      <td>0.019365</td>\n",
       "      <td>157.675558</td>\n",
       "      <td>8198.708763</td>\n",
       "      <td>0.072790</td>\n",
       "      <td>0.072791</td>\n",
       "      <td>0.072067</td>\n",
       "      <td>0.072148</td>\n",
       "      <td>18.284087</td>\n",
       "      <td>252.250628</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>0.016422</td>\n",
       "      <td>0.016227</td>\n",
       "      <td>0.016360</td>\n",
       "      <td>17.000980</td>\n",
       "      <td>1042.824300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 22:00:00</th>\n",
       "      <td>0.019271</td>\n",
       "      <td>0.019309</td>\n",
       "      <td>0.019162</td>\n",
       "      <td>0.019204</td>\n",
       "      <td>89.599189</td>\n",
       "      <td>4649.761884</td>\n",
       "      <td>0.072360</td>\n",
       "      <td>0.072790</td>\n",
       "      <td>0.072068</td>\n",
       "      <td>0.072500</td>\n",
       "      <td>31.410805</td>\n",
       "      <td>435.147544</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>0.016401</td>\n",
       "      <td>0.016323</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>1.050736</td>\n",
       "      <td>64.258248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 22:30:00</th>\n",
       "      <td>0.019263</td>\n",
       "      <td>0.019353</td>\n",
       "      <td>0.019143</td>\n",
       "      <td>0.019271</td>\n",
       "      <td>102.195033</td>\n",
       "      <td>5304.391273</td>\n",
       "      <td>0.072500</td>\n",
       "      <td>0.072740</td>\n",
       "      <td>0.072169</td>\n",
       "      <td>0.072169</td>\n",
       "      <td>2.176476</td>\n",
       "      <td>29.992342</td>\n",
       "      <td>0.016269</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.016262</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>4.130065</td>\n",
       "      <td>252.910135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 23:00:00</th>\n",
       "      <td>0.019340</td>\n",
       "      <td>0.019380</td>\n",
       "      <td>0.019250</td>\n",
       "      <td>0.019263</td>\n",
       "      <td>51.805206</td>\n",
       "      <td>2683.849665</td>\n",
       "      <td>0.072770</td>\n",
       "      <td>0.072826</td>\n",
       "      <td>0.072430</td>\n",
       "      <td>0.072500</td>\n",
       "      <td>11.451511</td>\n",
       "      <td>157.605870</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016365</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016269</td>\n",
       "      <td>5.774802</td>\n",
       "      <td>354.476663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 23:30:00</th>\n",
       "      <td>0.019462</td>\n",
       "      <td>0.019462</td>\n",
       "      <td>0.019339</td>\n",
       "      <td>0.019350</td>\n",
       "      <td>61.594625</td>\n",
       "      <td>3174.332047</td>\n",
       "      <td>0.072494</td>\n",
       "      <td>0.072800</td>\n",
       "      <td>0.072450</td>\n",
       "      <td>0.072770</td>\n",
       "      <td>5.277151</td>\n",
       "      <td>72.698265</td>\n",
       "      <td>0.016289</td>\n",
       "      <td>0.016420</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016261</td>\n",
       "      <td>5.284462</td>\n",
       "      <td>322.402887</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61096 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Pair                   LTCBTC                                            \\\n",
       "Price                   close      high       low      open      volume   \n",
       "date                                                                      \n",
       "2014-01-18 04:00:00  0.028000  0.028000  0.028000  0.028000    0.020590   \n",
       "2014-01-18 04:30:00  0.028500  0.029000  0.028000  0.029000    0.003106   \n",
       "2014-01-18 05:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 05:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 06:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 06:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 07:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 07:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 08:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 08:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 09:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 09:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 10:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 10:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 11:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 11:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 12:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 12:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 13:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 13:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 14:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 14:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 15:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 15:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 16:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 16:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 17:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 17:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 18:00:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "2014-01-18 18:30:00  0.028500  0.028500  0.028500  0.028500    0.000000   \n",
       "...                       ...       ...       ...       ...         ...   \n",
       "2017-07-13 09:00:00  0.019103  0.019238  0.019043  0.019215  102.001835   \n",
       "2017-07-13 09:30:00  0.019013  0.019128  0.019005  0.019103  115.373214   \n",
       "2017-07-13 10:00:00  0.019098  0.019100  0.019000  0.019032   50.748214   \n",
       "2017-07-13 10:30:00  0.019193  0.019200  0.019087  0.019100   35.057789   \n",
       "2017-07-13 11:00:00  0.019300  0.019500  0.019193  0.019200  181.517873   \n",
       "2017-07-13 11:30:00  0.019386  0.019455  0.019300  0.019300  110.352974   \n",
       "2017-07-13 12:00:00  0.019363  0.019492  0.019345  0.019386   87.880708   \n",
       "2017-07-13 12:30:00  0.019385  0.019388  0.019257  0.019345   66.806285   \n",
       "2017-07-13 13:00:00  0.019227  0.019388  0.019086  0.019385  176.470996   \n",
       "2017-07-13 13:30:00  0.019200  0.019258  0.019135  0.019227   53.844416   \n",
       "2017-07-13 14:00:00  0.019073  0.019202  0.019037  0.019202  120.209105   \n",
       "2017-07-13 14:30:00  0.019210  0.019210  0.019036  0.019079  117.144992   \n",
       "2017-07-13 15:00:00  0.019214  0.019268  0.019150  0.019187   60.409080   \n",
       "2017-07-13 15:30:00  0.019110  0.019275  0.019100  0.019216  131.437257   \n",
       "2017-07-13 16:00:00  0.019087  0.019186  0.018950  0.019110  352.480444   \n",
       "2017-07-13 16:30:00  0.019220  0.019220  0.019085  0.019087   71.181496   \n",
       "2017-07-13 17:00:00  0.019203  0.019245  0.019101  0.019220  104.015164   \n",
       "2017-07-13 17:30:00  0.019021  0.019194  0.018983  0.019180  114.901113   \n",
       "2017-07-13 18:00:00  0.019112  0.019112  0.018986  0.019045   61.162994   \n",
       "2017-07-13 18:30:00  0.019124  0.019174  0.019040  0.019090  103.732512   \n",
       "2017-07-13 19:00:00  0.019095  0.019200  0.019070  0.019124   50.057990   \n",
       "2017-07-13 19:30:00  0.019040  0.019125  0.019040  0.019087   62.455953   \n",
       "2017-07-13 20:00:00  0.019100  0.019130  0.019000  0.019040   57.416039   \n",
       "2017-07-13 20:30:00  0.019266  0.019280  0.019100  0.019130   54.247496   \n",
       "2017-07-13 21:00:00  0.019344  0.019382  0.019224  0.019280  131.677025   \n",
       "2017-07-13 21:30:00  0.019210  0.019365  0.019110  0.019365  157.675558   \n",
       "2017-07-13 22:00:00  0.019271  0.019309  0.019162  0.019204   89.599189   \n",
       "2017-07-13 22:30:00  0.019263  0.019353  0.019143  0.019271  102.195033   \n",
       "2017-07-13 23:00:00  0.019340  0.019380  0.019250  0.019263   51.805206   \n",
       "2017-07-13 23:30:00  0.019462  0.019462  0.019339  0.019350   61.594625   \n",
       "\n",
       "Pair                                DASHBTC                                \\\n",
       "Price                 quoteVolume     close      high       low      open   \n",
       "date                                                                        \n",
       "2014-01-18 04:00:00      0.735400       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 04:30:00      0.109700       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 05:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 05:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 06:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 06:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 07:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 07:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 08:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 08:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 09:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 09:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 10:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 10:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 11:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 11:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 12:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 12:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 13:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 13:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 14:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 14:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 15:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 15:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 16:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 16:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 17:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 17:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 18:00:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "2014-01-18 18:30:00      0.000000       NaN       NaN       NaN       NaN   \n",
       "...                           ...       ...       ...       ...       ...   \n",
       "2017-07-13 09:00:00   5328.738151  0.072300  0.072809  0.072012  0.072809   \n",
       "2017-07-13 09:30:00   6051.922924  0.072481  0.072619  0.072300  0.072425   \n",
       "2017-07-13 10:00:00   2664.117231  0.071730  0.072584  0.071729  0.072481   \n",
       "2017-07-13 10:30:00   1829.450652  0.071670  0.072127  0.071585  0.071730   \n",
       "2017-07-13 11:00:00   9369.638447  0.072920  0.072920  0.071670  0.071771   \n",
       "2017-07-13 11:30:00   5691.409801  0.073171  0.073316  0.072640  0.072640   \n",
       "2017-07-13 12:00:00   4528.467404  0.073020  0.073433  0.072867  0.073170   \n",
       "2017-07-13 12:30:00   3454.094631  0.073400  0.073400  0.073020  0.073070   \n",
       "2017-07-13 13:00:00   9187.940454  0.073230  0.073500  0.073221  0.073400   \n",
       "2017-07-13 13:30:00   2805.453736  0.073168  0.073500  0.072830  0.073230   \n",
       "2017-07-13 14:00:00   6299.759114  0.072918  0.073487  0.072800  0.073193   \n",
       "2017-07-13 14:30:00   6130.597254  0.072642  0.073489  0.072639  0.073000   \n",
       "2017-07-13 15:00:00   3144.541587  0.072485  0.073480  0.072056  0.072642   \n",
       "2017-07-13 15:30:00   6844.490092  0.071605  0.072485  0.071605  0.072298   \n",
       "2017-07-13 16:00:00  18463.961383  0.072035  0.072104  0.071100  0.071605   \n",
       "2017-07-13 16:30:00   3718.401983  0.072100  0.072486  0.071455  0.072033   \n",
       "2017-07-13 17:00:00   5418.887416  0.072656  0.072656  0.071630  0.072100   \n",
       "2017-07-13 17:30:00   6023.751955  0.072889  0.073760  0.072511  0.072635   \n",
       "2017-07-13 18:00:00   3211.881872  0.072943  0.073016  0.072492  0.072610   \n",
       "2017-07-13 18:30:00   5425.850165  0.072984  0.073311  0.072563  0.072563   \n",
       "2017-07-13 19:00:00   2615.336480  0.072545  0.073138  0.072381  0.072984   \n",
       "2017-07-13 19:30:00   3276.442735  0.071898  0.072545  0.071570  0.072545   \n",
       "2017-07-13 20:00:00   3013.924077  0.071810  0.072320  0.071586  0.071586   \n",
       "2017-07-13 20:30:00   2826.468409  0.072315  0.072750  0.071727  0.072091   \n",
       "2017-07-13 21:00:00   6816.243889  0.072148  0.072690  0.072067  0.072315   \n",
       "2017-07-13 21:30:00   8198.708763  0.072790  0.072791  0.072067  0.072148   \n",
       "2017-07-13 22:00:00   4649.761884  0.072360  0.072790  0.072068  0.072500   \n",
       "2017-07-13 22:30:00   5304.391273  0.072500  0.072740  0.072169  0.072169   \n",
       "2017-07-13 23:00:00   2683.849665  0.072770  0.072826  0.072430  0.072500   \n",
       "2017-07-13 23:30:00   3174.332047  0.072494  0.072800  0.072450  0.072770   \n",
       "\n",
       "Pair                                          XMRBTC                      \\\n",
       "Price                   volume quoteVolume     close      high       low   \n",
       "date                                                                       \n",
       "2014-01-18 04:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 04:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 05:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 05:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 06:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 06:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 07:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 07:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 08:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 08:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 09:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 09:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 10:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 10:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 11:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 11:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 12:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 12:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 13:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 13:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 14:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 14:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 15:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 15:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 16:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 16:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 17:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 17:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 18:00:00        NaN         NaN       NaN       NaN       NaN   \n",
       "2014-01-18 18:30:00        NaN         NaN       NaN       NaN       NaN   \n",
       "...                        ...         ...       ...       ...       ...   \n",
       "2017-07-13 09:00:00  22.333296  308.698352  0.016200  0.016260  0.016151   \n",
       "2017-07-13 09:30:00  14.041970  194.101572  0.016214  0.016396  0.016200   \n",
       "2017-07-13 10:00:00  23.715417  328.675688  0.016263  0.016281  0.016211   \n",
       "2017-07-13 10:30:00  33.350912  465.074741  0.016304  0.016367  0.016263   \n",
       "2017-07-13 11:00:00  26.761725  369.510973  0.016382  0.016408  0.016304   \n",
       "2017-07-13 11:30:00  18.257227  249.933945  0.016490  0.016490  0.016382   \n",
       "2017-07-13 12:00:00  12.723900  173.851297  0.016433  0.016499  0.016365   \n",
       "2017-07-13 12:30:00   3.529383   48.274718  0.016441  0.016499  0.016353   \n",
       "2017-07-13 13:00:00  14.243275  194.257627  0.016410  0.016437  0.016337   \n",
       "2017-07-13 13:30:00  15.433198  210.906816  0.016351  0.016425  0.016334   \n",
       "2017-07-13 14:00:00   5.574882   76.360152  0.016306  0.016400  0.016306   \n",
       "2017-07-13 14:30:00   3.633284   49.801619  0.016306  0.016377  0.016306   \n",
       "2017-07-13 15:00:00  26.060940  358.873489  0.016120  0.016392  0.016046   \n",
       "2017-07-13 15:30:00  66.840261  929.381259  0.016027  0.016200  0.015992   \n",
       "2017-07-13 16:00:00  45.988777  644.390298  0.016020  0.016080  0.015960   \n",
       "2017-07-13 16:30:00  19.054083  264.591534  0.016030  0.016100  0.016002   \n",
       "2017-07-13 17:00:00  16.594045  229.660914  0.016229  0.016232  0.016115   \n",
       "2017-07-13 17:30:00  26.669919  364.394455  0.016057  0.016232  0.016030   \n",
       "2017-07-13 18:00:00  24.627536  338.062082  0.016128  0.016157  0.016000   \n",
       "2017-07-13 18:30:00  18.240710  250.051087  0.016389  0.016399  0.016100   \n",
       "2017-07-13 19:00:00  18.109848  249.073822  0.016366  0.016488  0.016300   \n",
       "2017-07-13 19:30:00  25.484479  354.450981  0.016305  0.016488  0.016305   \n",
       "2017-07-13 20:00:00   5.415996   75.298057  0.016180  0.016382  0.016175   \n",
       "2017-07-13 20:30:00  17.284449  238.635277  0.016281  0.016380  0.016220   \n",
       "2017-07-13 21:00:00   8.701756  120.286405  0.016360  0.016425  0.016281   \n",
       "2017-07-13 21:30:00  18.284087  252.250628  0.016348  0.016422  0.016227   \n",
       "2017-07-13 22:00:00  31.410805  435.147544  0.016348  0.016401  0.016323   \n",
       "2017-07-13 22:30:00   2.176476   29.992342  0.016269  0.016400  0.016262   \n",
       "2017-07-13 23:00:00  11.451511  157.605870  0.016260  0.016365  0.016260   \n",
       "2017-07-13 23:30:00   5.277151   72.698265  0.016289  0.016420  0.016260   \n",
       "\n",
       "Pair                                                   \n",
       "Price                    open     volume  quoteVolume  \n",
       "date                                                   \n",
       "2014-01-18 04:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 04:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 05:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 05:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 06:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 06:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 07:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 07:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 08:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 08:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 09:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 09:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 10:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 10:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 11:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 11:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 12:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 12:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 13:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 13:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 14:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 14:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 15:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 15:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 16:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 16:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 17:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 17:30:00       NaN        NaN          NaN  \n",
       "2014-01-18 18:00:00       NaN        NaN          NaN  \n",
       "2014-01-18 18:30:00       NaN        NaN          NaN  \n",
       "...                       ...        ...          ...  \n",
       "2017-07-13 09:00:00  0.016220  16.447470  1014.826043  \n",
       "2017-07-13 09:30:00  0.016200  16.381883  1006.211103  \n",
       "2017-07-13 10:00:00  0.016214   5.879561   362.057572  \n",
       "2017-07-13 10:30:00  0.016279   6.862038   421.023648  \n",
       "2017-07-13 11:00:00  0.016304   8.927679   544.949394  \n",
       "2017-07-13 11:30:00  0.016404   8.967660   545.666655  \n",
       "2017-07-13 12:00:00  0.016490  11.650610   709.466293  \n",
       "2017-07-13 12:30:00  0.016499  12.990767   792.119330  \n",
       "2017-07-13 13:00:00  0.016437   5.833544   356.266861  \n",
       "2017-07-13 13:30:00  0.016410   5.270448   321.593298  \n",
       "2017-07-13 14:00:00  0.016400   2.315221   141.803909  \n",
       "2017-07-13 14:30:00  0.016306   1.577577    96.546480  \n",
       "2017-07-13 15:00:00  0.016306  69.611434  4300.748677  \n",
       "2017-07-13 15:30:00  0.016200  40.700323  2537.211215  \n",
       "2017-07-13 16:00:00  0.016010  20.781892  1296.247685  \n",
       "2017-07-13 16:30:00  0.016070  22.931610  1427.026698  \n",
       "2017-07-13 17:00:00  0.016115  10.652046   658.748194  \n",
       "2017-07-13 17:30:00  0.016218  17.885425  1106.663222  \n",
       "2017-07-13 18:00:00  0.016038  13.959773   868.051721  \n",
       "2017-07-13 18:30:00  0.016110  35.339157  2182.164699  \n",
       "2017-07-13 19:00:00  0.016300  30.539915  1862.691421  \n",
       "2017-07-13 19:30:00  0.016362  31.107351  1895.337919  \n",
       "2017-07-13 20:00:00  0.016341  24.475405  1504.283095  \n",
       "2017-07-13 20:30:00  0.016318  10.557378   646.264376  \n",
       "2017-07-13 21:00:00  0.016379   2.052379   125.407612  \n",
       "2017-07-13 21:30:00  0.016360  17.000980  1042.824300  \n",
       "2017-07-13 22:00:00  0.016348   1.050736    64.258248  \n",
       "2017-07-13 22:30:00  0.016348   4.130065   252.910135  \n",
       "2017-07-13 23:00:00  0.016269   5.774802   354.476663  \n",
       "2017-07-13 23:30:00  0.016261   5.284462   322.402887  \n",
       "\n",
       "[61096 rows x 18 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# concat\n",
    "df = pd.concat(dfs1, axis=1, keys=[df.name for df in dfs1], names=['Pair','Price'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:11.024414Z",
     "start_time": "2017-11-11T07:31:10.826771Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cropped from 61096\n",
      "to 55284\n"
     ]
    }
   ],
   "source": [
    "# crop to when they all exist\n",
    "print('cropped from', len(df))\n",
    "t=max([min(df1.index) for df1 in dfs1])\n",
    "df=df[df.index>t]\n",
    "print('to',len(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:11.113473Z",
     "start_time": "2017-11-11T07:31:11.026303Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Pair</th>\n",
       "      <th colspan=\"6\" halign=\"left\">LTCBTC</th>\n",
       "      <th colspan=\"6\" halign=\"left\">DASHBTC</th>\n",
       "      <th colspan=\"6\" halign=\"left\">XMRBTC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-05-19 06:00:00</th>\n",
       "      <td>0.023234</td>\n",
       "      <td>0.023234</td>\n",
       "      <td>0.023234</td>\n",
       "      <td>0.023234</td>\n",
       "      <td>0.538670</td>\n",
       "      <td>23.184900</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.014502</td>\n",
       "      <td>0.014970</td>\n",
       "      <td>2.343284</td>\n",
       "      <td>156.369797</td>\n",
       "      <td>0.001110</td>\n",
       "      <td>0.011110</td>\n",
       "      <td>0.001110</td>\n",
       "      <td>0.011110</td>\n",
       "      <td>1.995904</td>\n",
       "      <td>1404.974609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 06:30:00</th>\n",
       "      <td>0.023421</td>\n",
       "      <td>0.023421</td>\n",
       "      <td>0.023421</td>\n",
       "      <td>0.023421</td>\n",
       "      <td>0.022663</td>\n",
       "      <td>0.967600</td>\n",
       "      <td>0.014520</td>\n",
       "      <td>0.015342</td>\n",
       "      <td>0.014510</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.321949</td>\n",
       "      <td>21.883301</td>\n",
       "      <td>0.001125</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>0.001125</td>\n",
       "      <td>0.001200</td>\n",
       "      <td>0.619334</td>\n",
       "      <td>441.371613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 07:00:00</th>\n",
       "      <td>0.023038</td>\n",
       "      <td>0.023100</td>\n",
       "      <td>0.023038</td>\n",
       "      <td>0.023100</td>\n",
       "      <td>0.005663</td>\n",
       "      <td>0.245200</td>\n",
       "      <td>0.015350</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.014510</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>5.496416</td>\n",
       "      <td>369.994202</td>\n",
       "      <td>0.001190</td>\n",
       "      <td>0.001410</td>\n",
       "      <td>0.001080</td>\n",
       "      <td>0.001410</td>\n",
       "      <td>2.049713</td>\n",
       "      <td>1798.664062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 07:30:00</th>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.005128</td>\n",
       "      <td>0.222700</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>0.015050</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>1.160088</td>\n",
       "      <td>75.875801</td>\n",
       "      <td>0.001320</td>\n",
       "      <td>0.001867</td>\n",
       "      <td>0.001040</td>\n",
       "      <td>0.001040</td>\n",
       "      <td>3.425346</td>\n",
       "      <td>2460.367920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 08:00:00</th>\n",
       "      <td>0.023026</td>\n",
       "      <td>0.023420</td>\n",
       "      <td>0.023026</td>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.353329</td>\n",
       "      <td>15.309300</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>0.015103</td>\n",
       "      <td>0.015149</td>\n",
       "      <td>1.449590</td>\n",
       "      <td>93.675102</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>0.001800</td>\n",
       "      <td>0.001320</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>2.395254</td>\n",
       "      <td>1450.168701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 08:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023420</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.031986</td>\n",
       "      <td>1.386400</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015111</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>1.483967</td>\n",
       "      <td>93.716499</td>\n",
       "      <td>0.001930</td>\n",
       "      <td>0.001940</td>\n",
       "      <td>0.001600</td>\n",
       "      <td>0.001600</td>\n",
       "      <td>5.102005</td>\n",
       "      <td>2842.072021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 09:00:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.014403</td>\n",
       "      <td>0.625500</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015327</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.808186</td>\n",
       "      <td>51.574699</td>\n",
       "      <td>0.001800</td>\n",
       "      <td>0.002700</td>\n",
       "      <td>0.001760</td>\n",
       "      <td>0.001930</td>\n",
       "      <td>9.023416</td>\n",
       "      <td>4452.659668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 09:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.022038</td>\n",
       "      <td>0.950200</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.611756</td>\n",
       "      <td>38.797901</td>\n",
       "      <td>0.001252</td>\n",
       "      <td>0.001780</td>\n",
       "      <td>0.001252</td>\n",
       "      <td>0.001780</td>\n",
       "      <td>2.684633</td>\n",
       "      <td>1781.344360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 10:00:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.037687</td>\n",
       "      <td>1.624600</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>0.015980</td>\n",
       "      <td>0.015658</td>\n",
       "      <td>0.015980</td>\n",
       "      <td>1.305152</td>\n",
       "      <td>83.099098</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>0.001800</td>\n",
       "      <td>0.001370</td>\n",
       "      <td>0.001465</td>\n",
       "      <td>0.582902</td>\n",
       "      <td>393.504395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 10:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.007686</td>\n",
       "      <td>0.331400</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015396</td>\n",
       "      <td>0.015650</td>\n",
       "      <td>1.035374</td>\n",
       "      <td>64.767998</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>3.449471</td>\n",
       "      <td>1806.058594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 11:00:00</th>\n",
       "      <td>0.023418</td>\n",
       "      <td>0.023418</td>\n",
       "      <td>0.023418</td>\n",
       "      <td>0.023418</td>\n",
       "      <td>0.023418</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.015119</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015111</td>\n",
       "      <td>0.015980</td>\n",
       "      <td>2.999820</td>\n",
       "      <td>190.303802</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.001790</td>\n",
       "      <td>0.001999</td>\n",
       "      <td>2.536090</td>\n",
       "      <td>1270.478882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 11:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.059156</td>\n",
       "      <td>2.569100</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015111</td>\n",
       "      <td>0.015119</td>\n",
       "      <td>0.518863</td>\n",
       "      <td>34.062599</td>\n",
       "      <td>0.001469</td>\n",
       "      <td>0.001850</td>\n",
       "      <td>0.001469</td>\n",
       "      <td>0.001850</td>\n",
       "      <td>2.144056</td>\n",
       "      <td>1318.990356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 12:00:00</th>\n",
       "      <td>0.023414</td>\n",
       "      <td>0.023414</td>\n",
       "      <td>0.023414</td>\n",
       "      <td>0.023414</td>\n",
       "      <td>0.068545</td>\n",
       "      <td>2.927500</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>1.277838</td>\n",
       "      <td>83.992401</td>\n",
       "      <td>0.002180</td>\n",
       "      <td>0.002180</td>\n",
       "      <td>0.001594</td>\n",
       "      <td>0.001594</td>\n",
       "      <td>0.891866</td>\n",
       "      <td>445.721802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 12:30:00</th>\n",
       "      <td>0.023409</td>\n",
       "      <td>0.023409</td>\n",
       "      <td>0.023409</td>\n",
       "      <td>0.023409</td>\n",
       "      <td>0.001400</td>\n",
       "      <td>0.059800</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>7.734338</td>\n",
       "      <td>507.866211</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 13:00:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.094094</td>\n",
       "      <td>4.054200</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015500</td>\n",
       "      <td>0.015670</td>\n",
       "      <td>2.108728</td>\n",
       "      <td>135.026093</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002189</td>\n",
       "      <td>0.001824</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>2.457004</td>\n",
       "      <td>1207.615845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 13:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023400</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023400</td>\n",
       "      <td>0.030565</td>\n",
       "      <td>1.318200</td>\n",
       "      <td>0.015812</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015812</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>7.215445</td>\n",
       "      <td>450.966400</td>\n",
       "      <td>0.002002</td>\n",
       "      <td>0.002200</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002189</td>\n",
       "      <td>1.278166</td>\n",
       "      <td>592.451721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 14:00:00</th>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023050</td>\n",
       "      <td>0.073974</td>\n",
       "      <td>3.183400</td>\n",
       "      <td>0.015446</td>\n",
       "      <td>0.015990</td>\n",
       "      <td>0.015446</td>\n",
       "      <td>0.015446</td>\n",
       "      <td>2.004976</td>\n",
       "      <td>128.225800</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002300</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002002</td>\n",
       "      <td>3.455345</td>\n",
       "      <td>1588.773804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 14:30:00</th>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015868</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.014288</td>\n",
       "      <td>0.015889</td>\n",
       "      <td>4.151054</td>\n",
       "      <td>277.807190</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>0.002800</td>\n",
       "      <td>0.002070</td>\n",
       "      <td>0.002070</td>\n",
       "      <td>12.403766</td>\n",
       "      <td>5021.875977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 15:00:00</th>\n",
       "      <td>0.023160</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023160</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.019881</td>\n",
       "      <td>0.850200</td>\n",
       "      <td>0.015960</td>\n",
       "      <td>0.015979</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>3.191634</td>\n",
       "      <td>202.929794</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.002200</td>\n",
       "      <td>0.002670</td>\n",
       "      <td>16.717419</td>\n",
       "      <td>5765.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 15:30:00</th>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023160</td>\n",
       "      <td>0.934453</td>\n",
       "      <td>40.586800</td>\n",
       "      <td>0.015396</td>\n",
       "      <td>0.015838</td>\n",
       "      <td>0.015396</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>2.078391</td>\n",
       "      <td>133.140106</td>\n",
       "      <td>0.002800</td>\n",
       "      <td>0.003270</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>0.002900</td>\n",
       "      <td>31.239510</td>\n",
       "      <td>10526.804688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 16:00:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023407</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023407</td>\n",
       "      <td>0.363492</td>\n",
       "      <td>15.799400</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.329114</td>\n",
       "      <td>21.308300</td>\n",
       "      <td>0.003290</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>0.002700</td>\n",
       "      <td>0.002720</td>\n",
       "      <td>17.100437</td>\n",
       "      <td>5458.317383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 16:30:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.271593</td>\n",
       "      <td>11.807300</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.014700</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>2.284134</td>\n",
       "      <td>151.404007</td>\n",
       "      <td>0.004690</td>\n",
       "      <td>0.006000</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>70.831444</td>\n",
       "      <td>17873.626953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 17:00:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.055575</td>\n",
       "      <td>2.409300</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015390</td>\n",
       "      <td>0.014950</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>1.321608</td>\n",
       "      <td>87.975800</td>\n",
       "      <td>0.003340</td>\n",
       "      <td>0.004500</td>\n",
       "      <td>0.003031</td>\n",
       "      <td>0.004500</td>\n",
       "      <td>20.828947</td>\n",
       "      <td>5533.049316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 17:30:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.679097</td>\n",
       "      <td>29.458000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>0.003808</td>\n",
       "      <td>0.250200</td>\n",
       "      <td>0.003950</td>\n",
       "      <td>0.003950</td>\n",
       "      <td>0.002216</td>\n",
       "      <td>0.003310</td>\n",
       "      <td>18.371737</td>\n",
       "      <td>6569.975098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 18:00:00</th>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>0.115721</td>\n",
       "      <td>4.988000</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>0.014950</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>1.449422</td>\n",
       "      <td>96.481102</td>\n",
       "      <td>0.003500</td>\n",
       "      <td>0.003990</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.003950</td>\n",
       "      <td>19.149166</td>\n",
       "      <td>5459.770508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 18:30:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.014856</td>\n",
       "      <td>0.645700</td>\n",
       "      <td>0.015352</td>\n",
       "      <td>0.015352</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>1.084782</td>\n",
       "      <td>71.904198</td>\n",
       "      <td>0.003700</td>\n",
       "      <td>0.003907</td>\n",
       "      <td>0.003465</td>\n",
       "      <td>0.003465</td>\n",
       "      <td>6.955287</td>\n",
       "      <td>1840.305908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 19:00:00</th>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.047459</td>\n",
       "      <td>2.038400</td>\n",
       "      <td>0.015005</td>\n",
       "      <td>0.015480</td>\n",
       "      <td>0.015005</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>1.144843</td>\n",
       "      <td>76.125000</td>\n",
       "      <td>0.003700</td>\n",
       "      <td>0.003899</td>\n",
       "      <td>0.003650</td>\n",
       "      <td>0.003825</td>\n",
       "      <td>4.688448</td>\n",
       "      <td>1235.570190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 19:30:00</th>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.107424</td>\n",
       "      <td>4.590500</td>\n",
       "      <td>0.014950</td>\n",
       "      <td>0.015100</td>\n",
       "      <td>0.014950</td>\n",
       "      <td>0.015005</td>\n",
       "      <td>0.764598</td>\n",
       "      <td>50.961102</td>\n",
       "      <td>0.003740</td>\n",
       "      <td>0.003779</td>\n",
       "      <td>0.003697</td>\n",
       "      <td>0.003700</td>\n",
       "      <td>4.765787</td>\n",
       "      <td>1278.033813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 20:00:00</th>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.054595</td>\n",
       "      <td>2.334000</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.014951</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.307216</td>\n",
       "      <td>20.242901</td>\n",
       "      <td>0.003810</td>\n",
       "      <td>0.004179</td>\n",
       "      <td>0.003700</td>\n",
       "      <td>0.003740</td>\n",
       "      <td>9.082610</td>\n",
       "      <td>2326.187744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 20:30:00</th>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.599039</td>\n",
       "      <td>25.598301</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.039417</td>\n",
       "      <td>2.601800</td>\n",
       "      <td>0.004450</td>\n",
       "      <td>0.004450</td>\n",
       "      <td>0.003960</td>\n",
       "      <td>0.004000</td>\n",
       "      <td>5.771838</td>\n",
       "      <td>1374.612915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 09:00:00</th>\n",
       "      <td>0.019103</td>\n",
       "      <td>0.019238</td>\n",
       "      <td>0.019043</td>\n",
       "      <td>0.019215</td>\n",
       "      <td>102.001839</td>\n",
       "      <td>5328.738281</td>\n",
       "      <td>0.072300</td>\n",
       "      <td>0.072809</td>\n",
       "      <td>0.072012</td>\n",
       "      <td>0.072809</td>\n",
       "      <td>22.333296</td>\n",
       "      <td>308.698364</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016151</td>\n",
       "      <td>0.016220</td>\n",
       "      <td>16.447470</td>\n",
       "      <td>1014.826050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 09:30:00</th>\n",
       "      <td>0.019012</td>\n",
       "      <td>0.019128</td>\n",
       "      <td>0.019005</td>\n",
       "      <td>0.019103</td>\n",
       "      <td>115.373215</td>\n",
       "      <td>6051.922852</td>\n",
       "      <td>0.072481</td>\n",
       "      <td>0.072619</td>\n",
       "      <td>0.072300</td>\n",
       "      <td>0.072425</td>\n",
       "      <td>14.041969</td>\n",
       "      <td>194.101578</td>\n",
       "      <td>0.016214</td>\n",
       "      <td>0.016396</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>16.381884</td>\n",
       "      <td>1006.211121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 10:00:00</th>\n",
       "      <td>0.019098</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019000</td>\n",
       "      <td>0.019032</td>\n",
       "      <td>50.748215</td>\n",
       "      <td>2664.117188</td>\n",
       "      <td>0.071730</td>\n",
       "      <td>0.072584</td>\n",
       "      <td>0.071729</td>\n",
       "      <td>0.072481</td>\n",
       "      <td>23.715418</td>\n",
       "      <td>328.675690</td>\n",
       "      <td>0.016263</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016211</td>\n",
       "      <td>0.016214</td>\n",
       "      <td>5.879561</td>\n",
       "      <td>362.057587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 10:30:00</th>\n",
       "      <td>0.019193</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>35.057789</td>\n",
       "      <td>1829.450684</td>\n",
       "      <td>0.071670</td>\n",
       "      <td>0.072127</td>\n",
       "      <td>0.071585</td>\n",
       "      <td>0.071730</td>\n",
       "      <td>33.350910</td>\n",
       "      <td>465.074738</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>0.016367</td>\n",
       "      <td>0.016263</td>\n",
       "      <td>0.016279</td>\n",
       "      <td>6.862038</td>\n",
       "      <td>421.023651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 11:00:00</th>\n",
       "      <td>0.019300</td>\n",
       "      <td>0.019500</td>\n",
       "      <td>0.019193</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>181.517868</td>\n",
       "      <td>9369.638672</td>\n",
       "      <td>0.072920</td>\n",
       "      <td>0.072920</td>\n",
       "      <td>0.071670</td>\n",
       "      <td>0.071771</td>\n",
       "      <td>26.761724</td>\n",
       "      <td>369.510986</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016408</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>8.927679</td>\n",
       "      <td>544.949402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 11:30:00</th>\n",
       "      <td>0.019386</td>\n",
       "      <td>0.019455</td>\n",
       "      <td>0.019300</td>\n",
       "      <td>0.019300</td>\n",
       "      <td>110.352974</td>\n",
       "      <td>5691.409668</td>\n",
       "      <td>0.073171</td>\n",
       "      <td>0.073316</td>\n",
       "      <td>0.072640</td>\n",
       "      <td>0.072640</td>\n",
       "      <td>18.257227</td>\n",
       "      <td>249.933945</td>\n",
       "      <td>0.016490</td>\n",
       "      <td>0.016490</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016404</td>\n",
       "      <td>8.967661</td>\n",
       "      <td>545.666626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 12:00:00</th>\n",
       "      <td>0.019363</td>\n",
       "      <td>0.019492</td>\n",
       "      <td>0.019345</td>\n",
       "      <td>0.019386</td>\n",
       "      <td>87.880707</td>\n",
       "      <td>4528.467285</td>\n",
       "      <td>0.073020</td>\n",
       "      <td>0.073434</td>\n",
       "      <td>0.072867</td>\n",
       "      <td>0.073170</td>\n",
       "      <td>12.723900</td>\n",
       "      <td>173.851303</td>\n",
       "      <td>0.016433</td>\n",
       "      <td>0.016499</td>\n",
       "      <td>0.016365</td>\n",
       "      <td>0.016490</td>\n",
       "      <td>11.650610</td>\n",
       "      <td>709.466309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 12:30:00</th>\n",
       "      <td>0.019385</td>\n",
       "      <td>0.019388</td>\n",
       "      <td>0.019257</td>\n",
       "      <td>0.019345</td>\n",
       "      <td>66.806282</td>\n",
       "      <td>3454.094727</td>\n",
       "      <td>0.073400</td>\n",
       "      <td>0.073400</td>\n",
       "      <td>0.073020</td>\n",
       "      <td>0.073070</td>\n",
       "      <td>3.529383</td>\n",
       "      <td>48.274719</td>\n",
       "      <td>0.016441</td>\n",
       "      <td>0.016499</td>\n",
       "      <td>0.016353</td>\n",
       "      <td>0.016499</td>\n",
       "      <td>12.990767</td>\n",
       "      <td>792.119324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 13:00:00</th>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.019388</td>\n",
       "      <td>0.019086</td>\n",
       "      <td>0.019385</td>\n",
       "      <td>176.470993</td>\n",
       "      <td>9187.940430</td>\n",
       "      <td>0.073230</td>\n",
       "      <td>0.073500</td>\n",
       "      <td>0.073221</td>\n",
       "      <td>0.073400</td>\n",
       "      <td>14.243275</td>\n",
       "      <td>194.257629</td>\n",
       "      <td>0.016410</td>\n",
       "      <td>0.016437</td>\n",
       "      <td>0.016337</td>\n",
       "      <td>0.016437</td>\n",
       "      <td>5.833544</td>\n",
       "      <td>356.266846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 13:30:00</th>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019258</td>\n",
       "      <td>0.019135</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>53.844418</td>\n",
       "      <td>2805.453857</td>\n",
       "      <td>0.073168</td>\n",
       "      <td>0.073500</td>\n",
       "      <td>0.072830</td>\n",
       "      <td>0.073230</td>\n",
       "      <td>15.433198</td>\n",
       "      <td>210.906815</td>\n",
       "      <td>0.016351</td>\n",
       "      <td>0.016425</td>\n",
       "      <td>0.016334</td>\n",
       "      <td>0.016410</td>\n",
       "      <td>5.270448</td>\n",
       "      <td>321.593292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 14:00:00</th>\n",
       "      <td>0.019073</td>\n",
       "      <td>0.019202</td>\n",
       "      <td>0.019037</td>\n",
       "      <td>0.019202</td>\n",
       "      <td>120.209106</td>\n",
       "      <td>6299.759277</td>\n",
       "      <td>0.072918</td>\n",
       "      <td>0.073487</td>\n",
       "      <td>0.072800</td>\n",
       "      <td>0.073193</td>\n",
       "      <td>5.574882</td>\n",
       "      <td>76.360153</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>2.315221</td>\n",
       "      <td>141.803909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 14:30:00</th>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019036</td>\n",
       "      <td>0.019079</td>\n",
       "      <td>117.144989</td>\n",
       "      <td>6130.597168</td>\n",
       "      <td>0.072642</td>\n",
       "      <td>0.073489</td>\n",
       "      <td>0.072639</td>\n",
       "      <td>0.073000</td>\n",
       "      <td>3.633284</td>\n",
       "      <td>49.801620</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016377</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>1.577577</td>\n",
       "      <td>96.546478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 15:00:00</th>\n",
       "      <td>0.019214</td>\n",
       "      <td>0.019268</td>\n",
       "      <td>0.019150</td>\n",
       "      <td>0.019187</td>\n",
       "      <td>60.409081</td>\n",
       "      <td>3144.541504</td>\n",
       "      <td>0.072485</td>\n",
       "      <td>0.073480</td>\n",
       "      <td>0.072056</td>\n",
       "      <td>0.072642</td>\n",
       "      <td>26.060940</td>\n",
       "      <td>358.873474</td>\n",
       "      <td>0.016120</td>\n",
       "      <td>0.016392</td>\n",
       "      <td>0.016046</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>69.611435</td>\n",
       "      <td>4300.748535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 15:30:00</th>\n",
       "      <td>0.019110</td>\n",
       "      <td>0.019275</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019216</td>\n",
       "      <td>131.437256</td>\n",
       "      <td>6844.490234</td>\n",
       "      <td>0.071605</td>\n",
       "      <td>0.072485</td>\n",
       "      <td>0.071605</td>\n",
       "      <td>0.072298</td>\n",
       "      <td>66.840263</td>\n",
       "      <td>929.381287</td>\n",
       "      <td>0.016027</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.015992</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>40.700321</td>\n",
       "      <td>2537.211182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 16:00:00</th>\n",
       "      <td>0.019087</td>\n",
       "      <td>0.019186</td>\n",
       "      <td>0.018950</td>\n",
       "      <td>0.019110</td>\n",
       "      <td>352.480438</td>\n",
       "      <td>18463.960938</td>\n",
       "      <td>0.072035</td>\n",
       "      <td>0.072104</td>\n",
       "      <td>0.071100</td>\n",
       "      <td>0.071605</td>\n",
       "      <td>45.988777</td>\n",
       "      <td>644.390320</td>\n",
       "      <td>0.016020</td>\n",
       "      <td>0.016080</td>\n",
       "      <td>0.015960</td>\n",
       "      <td>0.016010</td>\n",
       "      <td>20.781893</td>\n",
       "      <td>1296.247681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 16:30:00</th>\n",
       "      <td>0.019220</td>\n",
       "      <td>0.019220</td>\n",
       "      <td>0.019085</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>71.181496</td>\n",
       "      <td>3718.402100</td>\n",
       "      <td>0.072100</td>\n",
       "      <td>0.072486</td>\n",
       "      <td>0.071455</td>\n",
       "      <td>0.072033</td>\n",
       "      <td>19.054083</td>\n",
       "      <td>264.591522</td>\n",
       "      <td>0.016030</td>\n",
       "      <td>0.016100</td>\n",
       "      <td>0.016002</td>\n",
       "      <td>0.016070</td>\n",
       "      <td>22.931610</td>\n",
       "      <td>1427.026733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 17:00:00</th>\n",
       "      <td>0.019203</td>\n",
       "      <td>0.019245</td>\n",
       "      <td>0.019101</td>\n",
       "      <td>0.019220</td>\n",
       "      <td>104.015167</td>\n",
       "      <td>5418.887207</td>\n",
       "      <td>0.072656</td>\n",
       "      <td>0.072656</td>\n",
       "      <td>0.071630</td>\n",
       "      <td>0.072100</td>\n",
       "      <td>16.594046</td>\n",
       "      <td>229.660919</td>\n",
       "      <td>0.016229</td>\n",
       "      <td>0.016232</td>\n",
       "      <td>0.016115</td>\n",
       "      <td>0.016115</td>\n",
       "      <td>10.652046</td>\n",
       "      <td>658.748169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 17:30:00</th>\n",
       "      <td>0.019021</td>\n",
       "      <td>0.019194</td>\n",
       "      <td>0.018983</td>\n",
       "      <td>0.019180</td>\n",
       "      <td>114.901115</td>\n",
       "      <td>6023.751953</td>\n",
       "      <td>0.072889</td>\n",
       "      <td>0.073760</td>\n",
       "      <td>0.072511</td>\n",
       "      <td>0.072635</td>\n",
       "      <td>26.669918</td>\n",
       "      <td>364.394470</td>\n",
       "      <td>0.016057</td>\n",
       "      <td>0.016232</td>\n",
       "      <td>0.016030</td>\n",
       "      <td>0.016218</td>\n",
       "      <td>17.885426</td>\n",
       "      <td>1106.663208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 18:00:00</th>\n",
       "      <td>0.019112</td>\n",
       "      <td>0.019112</td>\n",
       "      <td>0.018986</td>\n",
       "      <td>0.019045</td>\n",
       "      <td>61.162994</td>\n",
       "      <td>3211.881836</td>\n",
       "      <td>0.072943</td>\n",
       "      <td>0.073016</td>\n",
       "      <td>0.072492</td>\n",
       "      <td>0.072610</td>\n",
       "      <td>24.627537</td>\n",
       "      <td>338.062073</td>\n",
       "      <td>0.016128</td>\n",
       "      <td>0.016157</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016038</td>\n",
       "      <td>13.959773</td>\n",
       "      <td>868.051697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 18:30:00</th>\n",
       "      <td>0.019124</td>\n",
       "      <td>0.019174</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019090</td>\n",
       "      <td>103.732513</td>\n",
       "      <td>5425.850098</td>\n",
       "      <td>0.072984</td>\n",
       "      <td>0.073311</td>\n",
       "      <td>0.072563</td>\n",
       "      <td>0.072563</td>\n",
       "      <td>18.240709</td>\n",
       "      <td>250.051086</td>\n",
       "      <td>0.016389</td>\n",
       "      <td>0.016399</td>\n",
       "      <td>0.016100</td>\n",
       "      <td>0.016110</td>\n",
       "      <td>35.339157</td>\n",
       "      <td>2182.164795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 19:00:00</th>\n",
       "      <td>0.019095</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019070</td>\n",
       "      <td>0.019124</td>\n",
       "      <td>50.057991</td>\n",
       "      <td>2615.336426</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.073138</td>\n",
       "      <td>0.072381</td>\n",
       "      <td>0.072984</td>\n",
       "      <td>18.109848</td>\n",
       "      <td>249.073822</td>\n",
       "      <td>0.016366</td>\n",
       "      <td>0.016488</td>\n",
       "      <td>0.016300</td>\n",
       "      <td>0.016300</td>\n",
       "      <td>30.539915</td>\n",
       "      <td>1862.691406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 19:30:00</th>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019125</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>62.455952</td>\n",
       "      <td>3276.442627</td>\n",
       "      <td>0.071898</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.071570</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>25.484478</td>\n",
       "      <td>354.450989</td>\n",
       "      <td>0.016305</td>\n",
       "      <td>0.016488</td>\n",
       "      <td>0.016305</td>\n",
       "      <td>0.016362</td>\n",
       "      <td>31.107351</td>\n",
       "      <td>1895.337891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 20:00:00</th>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019130</td>\n",
       "      <td>0.019000</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>57.416039</td>\n",
       "      <td>3013.924072</td>\n",
       "      <td>0.071810</td>\n",
       "      <td>0.072320</td>\n",
       "      <td>0.071586</td>\n",
       "      <td>0.071586</td>\n",
       "      <td>5.415996</td>\n",
       "      <td>75.298058</td>\n",
       "      <td>0.016180</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016175</td>\n",
       "      <td>0.016341</td>\n",
       "      <td>24.475405</td>\n",
       "      <td>1504.283081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 20:30:00</th>\n",
       "      <td>0.019266</td>\n",
       "      <td>0.019281</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019130</td>\n",
       "      <td>54.247498</td>\n",
       "      <td>2826.468506</td>\n",
       "      <td>0.072315</td>\n",
       "      <td>0.072750</td>\n",
       "      <td>0.071727</td>\n",
       "      <td>0.072091</td>\n",
       "      <td>17.284449</td>\n",
       "      <td>238.635284</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016380</td>\n",
       "      <td>0.016220</td>\n",
       "      <td>0.016318</td>\n",
       "      <td>10.557378</td>\n",
       "      <td>646.264404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 21:00:00</th>\n",
       "      <td>0.019344</td>\n",
       "      <td>0.019382</td>\n",
       "      <td>0.019224</td>\n",
       "      <td>0.019280</td>\n",
       "      <td>131.677032</td>\n",
       "      <td>6816.243652</td>\n",
       "      <td>0.072148</td>\n",
       "      <td>0.072690</td>\n",
       "      <td>0.072067</td>\n",
       "      <td>0.072315</td>\n",
       "      <td>8.701756</td>\n",
       "      <td>120.286407</td>\n",
       "      <td>0.016360</td>\n",
       "      <td>0.016425</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016379</td>\n",
       "      <td>2.052379</td>\n",
       "      <td>125.407608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 21:30:00</th>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019365</td>\n",
       "      <td>0.019110</td>\n",
       "      <td>0.019365</td>\n",
       "      <td>157.675552</td>\n",
       "      <td>8198.708984</td>\n",
       "      <td>0.072790</td>\n",
       "      <td>0.072791</td>\n",
       "      <td>0.072067</td>\n",
       "      <td>0.072148</td>\n",
       "      <td>18.284086</td>\n",
       "      <td>252.250626</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>0.016422</td>\n",
       "      <td>0.016227</td>\n",
       "      <td>0.016360</td>\n",
       "      <td>17.000980</td>\n",
       "      <td>1042.824341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 22:00:00</th>\n",
       "      <td>0.019271</td>\n",
       "      <td>0.019309</td>\n",
       "      <td>0.019162</td>\n",
       "      <td>0.019204</td>\n",
       "      <td>89.599190</td>\n",
       "      <td>4649.761719</td>\n",
       "      <td>0.072360</td>\n",
       "      <td>0.072790</td>\n",
       "      <td>0.072068</td>\n",
       "      <td>0.072500</td>\n",
       "      <td>31.410805</td>\n",
       "      <td>435.147552</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>0.016401</td>\n",
       "      <td>0.016323</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>1.050736</td>\n",
       "      <td>64.258247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 22:30:00</th>\n",
       "      <td>0.019263</td>\n",
       "      <td>0.019353</td>\n",
       "      <td>0.019143</td>\n",
       "      <td>0.019271</td>\n",
       "      <td>102.195030</td>\n",
       "      <td>5304.391113</td>\n",
       "      <td>0.072500</td>\n",
       "      <td>0.072740</td>\n",
       "      <td>0.072169</td>\n",
       "      <td>0.072169</td>\n",
       "      <td>2.176476</td>\n",
       "      <td>29.992342</td>\n",
       "      <td>0.016269</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.016262</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>4.130065</td>\n",
       "      <td>252.910141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 23:00:00</th>\n",
       "      <td>0.019340</td>\n",
       "      <td>0.019380</td>\n",
       "      <td>0.019250</td>\n",
       "      <td>0.019263</td>\n",
       "      <td>51.805206</td>\n",
       "      <td>2683.849609</td>\n",
       "      <td>0.072770</td>\n",
       "      <td>0.072826</td>\n",
       "      <td>0.072430</td>\n",
       "      <td>0.072500</td>\n",
       "      <td>11.451510</td>\n",
       "      <td>157.605865</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016365</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016269</td>\n",
       "      <td>5.774802</td>\n",
       "      <td>354.476654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 23:30:00</th>\n",
       "      <td>0.019462</td>\n",
       "      <td>0.019462</td>\n",
       "      <td>0.019339</td>\n",
       "      <td>0.019350</td>\n",
       "      <td>61.594624</td>\n",
       "      <td>3174.332031</td>\n",
       "      <td>0.072494</td>\n",
       "      <td>0.072800</td>\n",
       "      <td>0.072450</td>\n",
       "      <td>0.072770</td>\n",
       "      <td>5.277152</td>\n",
       "      <td>72.698265</td>\n",
       "      <td>0.016289</td>\n",
       "      <td>0.016420</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016261</td>\n",
       "      <td>5.284461</td>\n",
       "      <td>322.402893</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>55284 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Pair                   LTCBTC                                            \\\n",
       "Price                   close      high       low      open      volume   \n",
       "date                                                                      \n",
       "2014-05-19 06:00:00  0.023234  0.023234  0.023234  0.023234    0.538670   \n",
       "2014-05-19 06:30:00  0.023421  0.023421  0.023421  0.023421    0.022663   \n",
       "2014-05-19 07:00:00  0.023038  0.023100  0.023038  0.023100    0.005663   \n",
       "2014-05-19 07:30:00  0.023029  0.023029  0.023029  0.023029    0.005128   \n",
       "2014-05-19 08:00:00  0.023026  0.023420  0.023026  0.023029    0.353329   \n",
       "2014-05-19 08:30:00  0.023025  0.023420  0.023025  0.023025    0.031986   \n",
       "2014-05-19 09:00:00  0.023025  0.023025  0.023025  0.023025    0.014403   \n",
       "2014-05-19 09:30:00  0.023025  0.023200  0.023025  0.023200    0.022038   \n",
       "2014-05-19 10:00:00  0.023025  0.023200  0.023025  0.023200    0.037687   \n",
       "2014-05-19 10:30:00  0.023025  0.023200  0.023025  0.023200    0.007686   \n",
       "2014-05-19 11:00:00  0.023418  0.023418  0.023418  0.023418    0.023418   \n",
       "2014-05-19 11:30:00  0.023025  0.023025  0.023025  0.023025    0.059156   \n",
       "2014-05-19 12:00:00  0.023414  0.023414  0.023414  0.023414    0.068545   \n",
       "2014-05-19 12:30:00  0.023409  0.023409  0.023409  0.023409    0.001400   \n",
       "2014-05-19 13:00:00  0.023025  0.023408  0.023025  0.023408    0.094094   \n",
       "2014-05-19 13:30:00  0.023025  0.023400  0.023025  0.023400    0.030565   \n",
       "2014-05-19 14:00:00  0.023408  0.023408  0.023025  0.023050    0.073974   \n",
       "2014-05-19 14:30:00  0.023408  0.023408  0.023408  0.023408    0.000000   \n",
       "2014-05-19 15:00:00  0.023160  0.023408  0.023160  0.023408    0.019881   \n",
       "2014-05-19 15:30:00  0.023408  0.023408  0.023001  0.023160    0.934453   \n",
       "2014-05-19 16:00:00  0.023001  0.023407  0.023001  0.023407    0.363492   \n",
       "2014-05-19 16:30:00  0.023001  0.023200  0.023001  0.023001    0.271593   \n",
       "2014-05-19 17:00:00  0.023001  0.023200  0.023001  0.023001    0.055575   \n",
       "2014-05-19 17:30:00  0.023001  0.023191  0.023001  0.023001    0.679097   \n",
       "2014-05-19 18:00:00  0.023200  0.023200  0.023191  0.023191    0.115721   \n",
       "2014-05-19 18:30:00  0.023001  0.023200  0.023001  0.023200    0.014856   \n",
       "2014-05-19 19:00:00  0.023402  0.023402  0.023001  0.023001    0.047459   \n",
       "2014-05-19 19:30:00  0.023402  0.023402  0.023402  0.023402    0.107424   \n",
       "2014-05-19 20:00:00  0.023402  0.023402  0.023001  0.023402    0.054595   \n",
       "2014-05-19 20:30:00  0.023402  0.023402  0.023402  0.023402    0.599039   \n",
       "...                       ...       ...       ...       ...         ...   \n",
       "2017-07-13 09:00:00  0.019103  0.019238  0.019043  0.019215  102.001839   \n",
       "2017-07-13 09:30:00  0.019012  0.019128  0.019005  0.019103  115.373215   \n",
       "2017-07-13 10:00:00  0.019098  0.019100  0.019000  0.019032   50.748215   \n",
       "2017-07-13 10:30:00  0.019193  0.019200  0.019087  0.019100   35.057789   \n",
       "2017-07-13 11:00:00  0.019300  0.019500  0.019193  0.019200  181.517868   \n",
       "2017-07-13 11:30:00  0.019386  0.019455  0.019300  0.019300  110.352974   \n",
       "2017-07-13 12:00:00  0.019363  0.019492  0.019345  0.019386   87.880707   \n",
       "2017-07-13 12:30:00  0.019385  0.019388  0.019257  0.019345   66.806282   \n",
       "2017-07-13 13:00:00  0.019227  0.019388  0.019086  0.019385  176.470993   \n",
       "2017-07-13 13:30:00  0.019200  0.019258  0.019135  0.019227   53.844418   \n",
       "2017-07-13 14:00:00  0.019073  0.019202  0.019037  0.019202  120.209106   \n",
       "2017-07-13 14:30:00  0.019210  0.019210  0.019036  0.019079  117.144989   \n",
       "2017-07-13 15:00:00  0.019214  0.019268  0.019150  0.019187   60.409081   \n",
       "2017-07-13 15:30:00  0.019110  0.019275  0.019100  0.019216  131.437256   \n",
       "2017-07-13 16:00:00  0.019087  0.019186  0.018950  0.019110  352.480438   \n",
       "2017-07-13 16:30:00  0.019220  0.019220  0.019085  0.019087   71.181496   \n",
       "2017-07-13 17:00:00  0.019203  0.019245  0.019101  0.019220  104.015167   \n",
       "2017-07-13 17:30:00  0.019021  0.019194  0.018983  0.019180  114.901115   \n",
       "2017-07-13 18:00:00  0.019112  0.019112  0.018986  0.019045   61.162994   \n",
       "2017-07-13 18:30:00  0.019124  0.019174  0.019040  0.019090  103.732513   \n",
       "2017-07-13 19:00:00  0.019095  0.019200  0.019070  0.019124   50.057991   \n",
       "2017-07-13 19:30:00  0.019040  0.019125  0.019040  0.019087   62.455952   \n",
       "2017-07-13 20:00:00  0.019100  0.019130  0.019000  0.019040   57.416039   \n",
       "2017-07-13 20:30:00  0.019266  0.019281  0.019100  0.019130   54.247498   \n",
       "2017-07-13 21:00:00  0.019344  0.019382  0.019224  0.019280  131.677032   \n",
       "2017-07-13 21:30:00  0.019210  0.019365  0.019110  0.019365  157.675552   \n",
       "2017-07-13 22:00:00  0.019271  0.019309  0.019162  0.019204   89.599190   \n",
       "2017-07-13 22:30:00  0.019263  0.019353  0.019143  0.019271  102.195030   \n",
       "2017-07-13 23:00:00  0.019340  0.019380  0.019250  0.019263   51.805206   \n",
       "2017-07-13 23:30:00  0.019462  0.019462  0.019339  0.019350   61.594624   \n",
       "\n",
       "Pair                                DASHBTC                                \\\n",
       "Price                 quoteVolume     close      high       low      open   \n",
       "date                                                                        \n",
       "2014-05-19 06:00:00     23.184900  0.015199  0.015199  0.014502  0.014970   \n",
       "2014-05-19 06:30:00      0.967600  0.014520  0.015342  0.014510  0.015199   \n",
       "2014-05-19 07:00:00      0.245200  0.015350  0.015400  0.014510  0.015000   \n",
       "2014-05-19 07:30:00      0.222700  0.015600  0.015600  0.015050  0.015200   \n",
       "2014-05-19 08:00:00     15.309300  0.015600  0.015600  0.015103  0.015149   \n",
       "2014-05-19 08:30:00      1.386400  0.016000  0.016000  0.015111  0.015700   \n",
       "2014-05-19 09:00:00      0.625500  0.016000  0.016000  0.015327  0.016000   \n",
       "2014-05-19 09:30:00      0.950200  0.015700  0.016000  0.015700  0.016000   \n",
       "2014-05-19 10:00:00      1.624600  0.015700  0.015980  0.015658  0.015980   \n",
       "2014-05-19 10:30:00      0.331400  0.016000  0.016000  0.015396  0.015650   \n",
       "2014-05-19 11:00:00      1.000000  0.015119  0.016000  0.015111  0.015980   \n",
       "2014-05-19 11:30:00      2.569100  0.015450  0.015450  0.015111  0.015119   \n",
       "2014-05-19 12:00:00      2.927500  0.015200  0.015450  0.015200  0.015450   \n",
       "2014-05-19 12:30:00      0.059800  0.015400  0.015400  0.015200  0.015200   \n",
       "2014-05-19 13:00:00      4.054200  0.016000  0.016000  0.015500  0.015670   \n",
       "2014-05-19 13:30:00      1.318200  0.015812  0.016000  0.015812  0.016000   \n",
       "2014-05-19 14:00:00      3.183400  0.015446  0.015990  0.015446  0.015446   \n",
       "2014-05-19 14:30:00      0.000000  0.015868  0.016000  0.014288  0.015889   \n",
       "2014-05-19 15:00:00      0.850200  0.015960  0.015979  0.015000  0.015000   \n",
       "2014-05-19 15:30:00     40.586800  0.015396  0.015838  0.015396  0.015600   \n",
       "2014-05-19 16:00:00     15.799400  0.015450  0.015450  0.015400  0.015400   \n",
       "2014-05-19 16:30:00     11.807300  0.015000  0.015450  0.014700  0.015450   \n",
       "2014-05-19 17:00:00      2.409300  0.015000  0.015390  0.014950  0.015000   \n",
       "2014-05-19 17:30:00     29.458000  0.015000  0.015250  0.015000  0.015250   \n",
       "2014-05-19 18:00:00      4.988000  0.015150  0.015250  0.014950  0.015000   \n",
       "2014-05-19 18:30:00      0.645700  0.015352  0.015352  0.015000  0.015000   \n",
       "2014-05-19 19:00:00      2.038400  0.015005  0.015480  0.015005  0.015200   \n",
       "2014-05-19 19:30:00      4.590500  0.014950  0.015100  0.014950  0.015005   \n",
       "2014-05-19 20:00:00      2.334000  0.015199  0.015400  0.014951  0.015400   \n",
       "2014-05-19 20:30:00     25.598301  0.015150  0.015150  0.015150  0.015150   \n",
       "...                           ...       ...       ...       ...       ...   \n",
       "2017-07-13 09:00:00   5328.738281  0.072300  0.072809  0.072012  0.072809   \n",
       "2017-07-13 09:30:00   6051.922852  0.072481  0.072619  0.072300  0.072425   \n",
       "2017-07-13 10:00:00   2664.117188  0.071730  0.072584  0.071729  0.072481   \n",
       "2017-07-13 10:30:00   1829.450684  0.071670  0.072127  0.071585  0.071730   \n",
       "2017-07-13 11:00:00   9369.638672  0.072920  0.072920  0.071670  0.071771   \n",
       "2017-07-13 11:30:00   5691.409668  0.073171  0.073316  0.072640  0.072640   \n",
       "2017-07-13 12:00:00   4528.467285  0.073020  0.073434  0.072867  0.073170   \n",
       "2017-07-13 12:30:00   3454.094727  0.073400  0.073400  0.073020  0.073070   \n",
       "2017-07-13 13:00:00   9187.940430  0.073230  0.073500  0.073221  0.073400   \n",
       "2017-07-13 13:30:00   2805.453857  0.073168  0.073500  0.072830  0.073230   \n",
       "2017-07-13 14:00:00   6299.759277  0.072918  0.073487  0.072800  0.073193   \n",
       "2017-07-13 14:30:00   6130.597168  0.072642  0.073489  0.072639  0.073000   \n",
       "2017-07-13 15:00:00   3144.541504  0.072485  0.073480  0.072056  0.072642   \n",
       "2017-07-13 15:30:00   6844.490234  0.071605  0.072485  0.071605  0.072298   \n",
       "2017-07-13 16:00:00  18463.960938  0.072035  0.072104  0.071100  0.071605   \n",
       "2017-07-13 16:30:00   3718.402100  0.072100  0.072486  0.071455  0.072033   \n",
       "2017-07-13 17:00:00   5418.887207  0.072656  0.072656  0.071630  0.072100   \n",
       "2017-07-13 17:30:00   6023.751953  0.072889  0.073760  0.072511  0.072635   \n",
       "2017-07-13 18:00:00   3211.881836  0.072943  0.073016  0.072492  0.072610   \n",
       "2017-07-13 18:30:00   5425.850098  0.072984  0.073311  0.072563  0.072563   \n",
       "2017-07-13 19:00:00   2615.336426  0.072545  0.073138  0.072381  0.072984   \n",
       "2017-07-13 19:30:00   3276.442627  0.071898  0.072545  0.071570  0.072545   \n",
       "2017-07-13 20:00:00   3013.924072  0.071810  0.072320  0.071586  0.071586   \n",
       "2017-07-13 20:30:00   2826.468506  0.072315  0.072750  0.071727  0.072091   \n",
       "2017-07-13 21:00:00   6816.243652  0.072148  0.072690  0.072067  0.072315   \n",
       "2017-07-13 21:30:00   8198.708984  0.072790  0.072791  0.072067  0.072148   \n",
       "2017-07-13 22:00:00   4649.761719  0.072360  0.072790  0.072068  0.072500   \n",
       "2017-07-13 22:30:00   5304.391113  0.072500  0.072740  0.072169  0.072169   \n",
       "2017-07-13 23:00:00   2683.849609  0.072770  0.072826  0.072430  0.072500   \n",
       "2017-07-13 23:30:00   3174.332031  0.072494  0.072800  0.072450  0.072770   \n",
       "\n",
       "Pair                                          XMRBTC                      \\\n",
       "Price                   volume quoteVolume     close      high       low   \n",
       "date                                                                       \n",
       "2014-05-19 06:00:00   2.343284  156.369797  0.001110  0.011110  0.001110   \n",
       "2014-05-19 06:30:00   0.321949   21.883301  0.001125  0.001500  0.001125   \n",
       "2014-05-19 07:00:00   5.496416  369.994202  0.001190  0.001410  0.001080   \n",
       "2014-05-19 07:30:00   1.160088   75.875801  0.001320  0.001867  0.001040   \n",
       "2014-05-19 08:00:00   1.449590   93.675102  0.001700  0.001800  0.001320   \n",
       "2014-05-19 08:30:00   1.483967   93.716499  0.001930  0.001940  0.001600   \n",
       "2014-05-19 09:00:00   0.808186   51.574699  0.001800  0.002700  0.001760   \n",
       "2014-05-19 09:30:00   0.611756   38.797901  0.001252  0.001780  0.001252   \n",
       "2014-05-19 10:00:00   1.305152   83.099098  0.001500  0.001800  0.001370   \n",
       "2014-05-19 10:30:00   1.035374   64.767998  0.002000  0.002000  0.001700   \n",
       "2014-05-19 11:00:00   2.999820  190.303802  0.002000  0.002000  0.001790   \n",
       "2014-05-19 11:30:00   0.518863   34.062599  0.001469  0.001850  0.001469   \n",
       "2014-05-19 12:00:00   1.277838   83.992401  0.002180  0.002180  0.001594   \n",
       "2014-05-19 12:30:00   7.734338  507.866211  0.002000  0.002000  0.002000   \n",
       "2014-05-19 13:00:00   2.108728  135.026093  0.002000  0.002189  0.001824   \n",
       "2014-05-19 13:30:00   7.215445  450.966400  0.002002  0.002200  0.002000   \n",
       "2014-05-19 14:00:00   2.004976  128.225800  0.002000  0.002300  0.002000   \n",
       "2014-05-19 14:30:00   4.151054  277.807190  0.002500  0.002800  0.002070   \n",
       "2014-05-19 15:00:00   3.191634  202.929794  0.003000  0.003000  0.002200   \n",
       "2014-05-19 15:30:00   2.078391  133.140106  0.002800  0.003270  0.002500   \n",
       "2014-05-19 16:00:00   0.329114   21.308300  0.003290  0.003300  0.002700   \n",
       "2014-05-19 16:30:00   2.284134  151.404007  0.004690  0.006000  0.003000   \n",
       "2014-05-19 17:00:00   1.321608   87.975800  0.003340  0.004500  0.003031   \n",
       "2014-05-19 17:30:00   0.003808    0.250200  0.003950  0.003950  0.002216   \n",
       "2014-05-19 18:00:00   1.449422   96.481102  0.003500  0.003990  0.003000   \n",
       "2014-05-19 18:30:00   1.084782   71.904198  0.003700  0.003907  0.003465   \n",
       "2014-05-19 19:00:00   1.144843   76.125000  0.003700  0.003899  0.003650   \n",
       "2014-05-19 19:30:00   0.764598   50.961102  0.003740  0.003779  0.003697   \n",
       "2014-05-19 20:00:00   0.307216   20.242901  0.003810  0.004179  0.003700   \n",
       "2014-05-19 20:30:00   0.039417    2.601800  0.004450  0.004450  0.003960   \n",
       "...                        ...         ...       ...       ...       ...   \n",
       "2017-07-13 09:00:00  22.333296  308.698364  0.016200  0.016260  0.016151   \n",
       "2017-07-13 09:30:00  14.041969  194.101578  0.016214  0.016396  0.016200   \n",
       "2017-07-13 10:00:00  23.715418  328.675690  0.016263  0.016281  0.016211   \n",
       "2017-07-13 10:30:00  33.350910  465.074738  0.016304  0.016367  0.016263   \n",
       "2017-07-13 11:00:00  26.761724  369.510986  0.016382  0.016408  0.016304   \n",
       "2017-07-13 11:30:00  18.257227  249.933945  0.016490  0.016490  0.016382   \n",
       "2017-07-13 12:00:00  12.723900  173.851303  0.016433  0.016499  0.016365   \n",
       "2017-07-13 12:30:00   3.529383   48.274719  0.016441  0.016499  0.016353   \n",
       "2017-07-13 13:00:00  14.243275  194.257629  0.016410  0.016437  0.016337   \n",
       "2017-07-13 13:30:00  15.433198  210.906815  0.016351  0.016425  0.016334   \n",
       "2017-07-13 14:00:00   5.574882   76.360153  0.016306  0.016400  0.016306   \n",
       "2017-07-13 14:30:00   3.633284   49.801620  0.016306  0.016377  0.016306   \n",
       "2017-07-13 15:00:00  26.060940  358.873474  0.016120  0.016392  0.016046   \n",
       "2017-07-13 15:30:00  66.840263  929.381287  0.016027  0.016200  0.015992   \n",
       "2017-07-13 16:00:00  45.988777  644.390320  0.016020  0.016080  0.015960   \n",
       "2017-07-13 16:30:00  19.054083  264.591522  0.016030  0.016100  0.016002   \n",
       "2017-07-13 17:00:00  16.594046  229.660919  0.016229  0.016232  0.016115   \n",
       "2017-07-13 17:30:00  26.669918  364.394470  0.016057  0.016232  0.016030   \n",
       "2017-07-13 18:00:00  24.627537  338.062073  0.016128  0.016157  0.016000   \n",
       "2017-07-13 18:30:00  18.240709  250.051086  0.016389  0.016399  0.016100   \n",
       "2017-07-13 19:00:00  18.109848  249.073822  0.016366  0.016488  0.016300   \n",
       "2017-07-13 19:30:00  25.484478  354.450989  0.016305  0.016488  0.016305   \n",
       "2017-07-13 20:00:00   5.415996   75.298058  0.016180  0.016382  0.016175   \n",
       "2017-07-13 20:30:00  17.284449  238.635284  0.016281  0.016380  0.016220   \n",
       "2017-07-13 21:00:00   8.701756  120.286407  0.016360  0.016425  0.016281   \n",
       "2017-07-13 21:30:00  18.284086  252.250626  0.016348  0.016422  0.016227   \n",
       "2017-07-13 22:00:00  31.410805  435.147552  0.016348  0.016401  0.016323   \n",
       "2017-07-13 22:30:00   2.176476   29.992342  0.016269  0.016400  0.016262   \n",
       "2017-07-13 23:00:00  11.451510  157.605865  0.016260  0.016365  0.016260   \n",
       "2017-07-13 23:30:00   5.277152   72.698265  0.016289  0.016420  0.016260   \n",
       "\n",
       "Pair                                                    \n",
       "Price                    open     volume   quoteVolume  \n",
       "date                                                    \n",
       "2014-05-19 06:00:00  0.011110   1.995904   1404.974609  \n",
       "2014-05-19 06:30:00  0.001200   0.619334    441.371613  \n",
       "2014-05-19 07:00:00  0.001410   2.049713   1798.664062  \n",
       "2014-05-19 07:30:00  0.001040   3.425346   2460.367920  \n",
       "2014-05-19 08:00:00  0.001700   2.395254   1450.168701  \n",
       "2014-05-19 08:30:00  0.001600   5.102005   2842.072021  \n",
       "2014-05-19 09:00:00  0.001930   9.023416   4452.659668  \n",
       "2014-05-19 09:30:00  0.001780   2.684633   1781.344360  \n",
       "2014-05-19 10:00:00  0.001465   0.582902    393.504395  \n",
       "2014-05-19 10:30:00  0.001700   3.449471   1806.058594  \n",
       "2014-05-19 11:00:00  0.001999   2.536090   1270.478882  \n",
       "2014-05-19 11:30:00  0.001850   2.144056   1318.990356  \n",
       "2014-05-19 12:00:00  0.001594   0.891866    445.721802  \n",
       "2014-05-19 12:30:00  0.002000   0.040000     20.000000  \n",
       "2014-05-19 13:00:00  0.002000   2.457004   1207.615845  \n",
       "2014-05-19 13:30:00  0.002189   1.278166    592.451721  \n",
       "2014-05-19 14:00:00  0.002002   3.455345   1588.773804  \n",
       "2014-05-19 14:30:00  0.002070  12.403766   5021.875977  \n",
       "2014-05-19 15:00:00  0.002670  16.717419   5765.500000  \n",
       "2014-05-19 15:30:00  0.002900  31.239510  10526.804688  \n",
       "2014-05-19 16:00:00  0.002720  17.100437   5458.317383  \n",
       "2014-05-19 16:30:00  0.003300  70.831444  17873.626953  \n",
       "2014-05-19 17:00:00  0.004500  20.828947   5533.049316  \n",
       "2014-05-19 17:30:00  0.003310  18.371737   6569.975098  \n",
       "2014-05-19 18:00:00  0.003950  19.149166   5459.770508  \n",
       "2014-05-19 18:30:00  0.003465   6.955287   1840.305908  \n",
       "2014-05-19 19:00:00  0.003825   4.688448   1235.570190  \n",
       "2014-05-19 19:30:00  0.003700   4.765787   1278.033813  \n",
       "2014-05-19 20:00:00  0.003740   9.082610   2326.187744  \n",
       "2014-05-19 20:30:00  0.004000   5.771838   1374.612915  \n",
       "...                       ...        ...           ...  \n",
       "2017-07-13 09:00:00  0.016220  16.447470   1014.826050  \n",
       "2017-07-13 09:30:00  0.016200  16.381884   1006.211121  \n",
       "2017-07-13 10:00:00  0.016214   5.879561    362.057587  \n",
       "2017-07-13 10:30:00  0.016279   6.862038    421.023651  \n",
       "2017-07-13 11:00:00  0.016304   8.927679    544.949402  \n",
       "2017-07-13 11:30:00  0.016404   8.967661    545.666626  \n",
       "2017-07-13 12:00:00  0.016490  11.650610    709.466309  \n",
       "2017-07-13 12:30:00  0.016499  12.990767    792.119324  \n",
       "2017-07-13 13:00:00  0.016437   5.833544    356.266846  \n",
       "2017-07-13 13:30:00  0.016410   5.270448    321.593292  \n",
       "2017-07-13 14:00:00  0.016400   2.315221    141.803909  \n",
       "2017-07-13 14:30:00  0.016306   1.577577     96.546478  \n",
       "2017-07-13 15:00:00  0.016306  69.611435   4300.748535  \n",
       "2017-07-13 15:30:00  0.016200  40.700321   2537.211182  \n",
       "2017-07-13 16:00:00  0.016010  20.781893   1296.247681  \n",
       "2017-07-13 16:30:00  0.016070  22.931610   1427.026733  \n",
       "2017-07-13 17:00:00  0.016115  10.652046    658.748169  \n",
       "2017-07-13 17:30:00  0.016218  17.885426   1106.663208  \n",
       "2017-07-13 18:00:00  0.016038  13.959773    868.051697  \n",
       "2017-07-13 18:30:00  0.016110  35.339157   2182.164795  \n",
       "2017-07-13 19:00:00  0.016300  30.539915   1862.691406  \n",
       "2017-07-13 19:30:00  0.016362  31.107351   1895.337891  \n",
       "2017-07-13 20:00:00  0.016341  24.475405   1504.283081  \n",
       "2017-07-13 20:30:00  0.016318  10.557378    646.264404  \n",
       "2017-07-13 21:00:00  0.016379   2.052379    125.407608  \n",
       "2017-07-13 21:30:00  0.016360  17.000980   1042.824341  \n",
       "2017-07-13 22:00:00  0.016348   1.050736     64.258247  \n",
       "2017-07-13 22:30:00  0.016348   4.130065    252.910141  \n",
       "2017-07-13 23:00:00  0.016269   5.774802    354.476654  \n",
       "2017-07-13 23:30:00  0.016261   5.284461    322.402893  \n",
       "\n",
       "[55284 rows x 18 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fill in na's\n",
    "df = df.fillna(method=\"pad\")\n",
    "\n",
    "# replace rest\n",
    "df.replace(np.nan, 0, inplace=True)\n",
    "# df.unstack()\n",
    "df=df.astype(np.float32)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:11.273934Z",
     "start_time": "2017-11-11T07:31:11.132551Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Pair</th>\n",
       "      <th colspan=\"6\" halign=\"left\">LTCBTC</th>\n",
       "      <th colspan=\"6\" halign=\"left\">DASHBTC</th>\n",
       "      <th colspan=\"6\" halign=\"left\">XMRBTC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "      <td>55284.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.009219</td>\n",
       "      <td>0.009257</td>\n",
       "      <td>0.009180</td>\n",
       "      <td>0.009219</td>\n",
       "      <td>40.719414</td>\n",
       "      <td>3502.839111</td>\n",
       "      <td>0.017816</td>\n",
       "      <td>0.017941</td>\n",
       "      <td>0.017684</td>\n",
       "      <td>0.017814</td>\n",
       "      <td>22.125402</td>\n",
       "      <td>593.785767</td>\n",
       "      <td>0.005719</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.005667</td>\n",
       "      <td>0.005718</td>\n",
       "      <td>41.847549</td>\n",
       "      <td>4253.086914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.003794</td>\n",
       "      <td>0.003824</td>\n",
       "      <td>0.003765</td>\n",
       "      <td>0.003794</td>\n",
       "      <td>214.729324</td>\n",
       "      <td>16516.457031</td>\n",
       "      <td>0.017599</td>\n",
       "      <td>0.017762</td>\n",
       "      <td>0.017419</td>\n",
       "      <td>0.017594</td>\n",
       "      <td>103.330620</td>\n",
       "      <td>1891.328735</td>\n",
       "      <td>0.005848</td>\n",
       "      <td>0.005894</td>\n",
       "      <td>0.005802</td>\n",
       "      <td>0.005848</td>\n",
       "      <td>192.169128</td>\n",
       "      <td>13965.763672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.003040</td>\n",
       "      <td>0.003056</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.003040</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003010</td>\n",
       "      <td>0.003173</td>\n",
       "      <td>0.002860</td>\n",
       "      <td>0.003010</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000929</td>\n",
       "      <td>0.000940</td>\n",
       "      <td>0.000910</td>\n",
       "      <td>0.000929</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.006373</td>\n",
       "      <td>0.006390</td>\n",
       "      <td>0.006351</td>\n",
       "      <td>0.006371</td>\n",
       "      <td>0.015089</td>\n",
       "      <td>1.549800</td>\n",
       "      <td>0.009125</td>\n",
       "      <td>0.009185</td>\n",
       "      <td>0.009074</td>\n",
       "      <td>0.009130</td>\n",
       "      <td>0.038011</td>\n",
       "      <td>3.969000</td>\n",
       "      <td>0.001829</td>\n",
       "      <td>0.001844</td>\n",
       "      <td>0.001808</td>\n",
       "      <td>0.001827</td>\n",
       "      <td>0.587202</td>\n",
       "      <td>277.602768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.008160</td>\n",
       "      <td>0.008182</td>\n",
       "      <td>0.008125</td>\n",
       "      <td>0.008159</td>\n",
       "      <td>0.382482</td>\n",
       "      <td>45.977900</td>\n",
       "      <td>0.012090</td>\n",
       "      <td>0.012142</td>\n",
       "      <td>0.012013</td>\n",
       "      <td>0.012086</td>\n",
       "      <td>1.065640</td>\n",
       "      <td>91.077301</td>\n",
       "      <td>0.002687</td>\n",
       "      <td>0.002711</td>\n",
       "      <td>0.002650</td>\n",
       "      <td>0.002683</td>\n",
       "      <td>3.200162</td>\n",
       "      <td>1070.625854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.011325</td>\n",
       "      <td>0.011381</td>\n",
       "      <td>0.011293</td>\n",
       "      <td>0.011320</td>\n",
       "      <td>3.824190</td>\n",
       "      <td>562.473984</td>\n",
       "      <td>0.016693</td>\n",
       "      <td>0.016788</td>\n",
       "      <td>0.016591</td>\n",
       "      <td>0.016690</td>\n",
       "      <td>7.986436</td>\n",
       "      <td>493.750465</td>\n",
       "      <td>0.009999</td>\n",
       "      <td>0.010055</td>\n",
       "      <td>0.009916</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>19.849789</td>\n",
       "      <td>3208.200928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.031700</td>\n",
       "      <td>0.032200</td>\n",
       "      <td>0.031600</td>\n",
       "      <td>0.031790</td>\n",
       "      <td>10390.376953</td>\n",
       "      <td>731837.187500</td>\n",
       "      <td>0.120770</td>\n",
       "      <td>0.124157</td>\n",
       "      <td>0.117620</td>\n",
       "      <td>0.120900</td>\n",
       "      <td>4456.258789</td>\n",
       "      <td>61347.714844</td>\n",
       "      <td>0.025246</td>\n",
       "      <td>0.026500</td>\n",
       "      <td>0.024150</td>\n",
       "      <td>0.025250</td>\n",
       "      <td>8192.482422</td>\n",
       "      <td>570634.062500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Pair         LTCBTC                                                          \\\n",
       "Price         close          high           low          open        volume   \n",
       "count  55284.000000  55284.000000  55284.000000  55284.000000  55284.000000   \n",
       "mean       0.009219      0.009257      0.009180      0.009219     40.719414   \n",
       "std        0.003794      0.003824      0.003765      0.003794    214.729324   \n",
       "min        0.003040      0.003056      0.002000      0.003040      0.000000   \n",
       "25%        0.006373      0.006390      0.006351      0.006371      0.015089   \n",
       "50%        0.008160      0.008182      0.008125      0.008159      0.382482   \n",
       "75%        0.011325      0.011381      0.011293      0.011320      3.824190   \n",
       "max        0.031700      0.032200      0.031600      0.031790  10390.376953   \n",
       "\n",
       "Pair                       DASHBTC                                            \\\n",
       "Price    quoteVolume         close          high           low          open   \n",
       "count   55284.000000  55284.000000  55284.000000  55284.000000  55284.000000   \n",
       "mean     3502.839111      0.017816      0.017941      0.017684      0.017814   \n",
       "std     16516.457031      0.017599      0.017762      0.017419      0.017594   \n",
       "min         0.000000      0.003010      0.003173      0.002860      0.003010   \n",
       "25%         1.549800      0.009125      0.009185      0.009074      0.009130   \n",
       "50%        45.977900      0.012090      0.012142      0.012013      0.012086   \n",
       "75%       562.473984      0.016693      0.016788      0.016591      0.016690   \n",
       "max    731837.187500      0.120770      0.124157      0.117620      0.120900   \n",
       "\n",
       "Pair                                     XMRBTC                              \\\n",
       "Price        volume   quoteVolume         close          high           low   \n",
       "count  55284.000000  55284.000000  55284.000000  55284.000000  55284.000000   \n",
       "mean      22.125402    593.785767      0.005719      0.005768      0.005667   \n",
       "std      103.330620   1891.328735      0.005848      0.005894      0.005802   \n",
       "min        0.000000      0.000000      0.000929      0.000940      0.000910   \n",
       "25%        0.038011      3.969000      0.001829      0.001844      0.001808   \n",
       "50%        1.065640     91.077301      0.002687      0.002711      0.002650   \n",
       "75%        7.986436    493.750465      0.009999      0.010055      0.009916   \n",
       "max     4456.258789  61347.714844      0.025246      0.026500      0.024150   \n",
       "\n",
       "Pair                                              \n",
       "Price          open        volume    quoteVolume  \n",
       "count  55284.000000  55284.000000   55284.000000  \n",
       "mean       0.005718     41.847549    4253.086914  \n",
       "std        0.005848    192.169128   13965.763672  \n",
       "min        0.000929      0.000000       0.000000  \n",
       "25%        0.001827      0.587202     277.602768  \n",
       "50%        0.002683      3.200162    1070.625854  \n",
       "75%        0.010000     19.849789    3208.200928  \n",
       "max        0.025250   8192.482422  570634.062500  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check stats\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:11.302762Z",
     "start_time": "2017-11-11T07:31:11.299763Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "assert np.isfinite(df.as_matrix()).all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:11.493632Z",
     "start_time": "2017-11-11T07:31:11.482379Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test#: 8291 train#: 46993 test_frac: 0.14997105853411474 cutoff_time: 2017-01-22 06:00:00\n"
     ]
    }
   ],
   "source": [
    "# split\n",
    "test_split=0.15\n",
    "c=int(len(df.index)*test_split)\n",
    "split_time = df.index[-c]\n",
    "\n",
    "\n",
    "df_test = df[df.index>split_time]\n",
    "df_train = df[df.index<=split_time]\n",
    "print('test#:',len(df_test), 'train#:',len(df_train), 'test_frac:', len(df_test)/len(df), 'cutoff_time:',split_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T06:19:43.502921Z",
     "start_time": "2017-11-11T06:19:43.415446Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:11.950491Z",
     "start_time": "2017-11-11T07:31:11.842884Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Pair</th>\n",
       "      <th colspan=\"6\" halign=\"left\">LTCBTC</th>\n",
       "      <th colspan=\"6\" halign=\"left\">DASHBTC</th>\n",
       "      <th colspan=\"6\" halign=\"left\">XMRBTC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>quoteVolume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-05-19 06:00:00</th>\n",
       "      <td>0.023234</td>\n",
       "      <td>0.023234</td>\n",
       "      <td>0.023234</td>\n",
       "      <td>0.023234</td>\n",
       "      <td>0.538670</td>\n",
       "      <td>23.184900</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.014502</td>\n",
       "      <td>0.014970</td>\n",
       "      <td>2.343284</td>\n",
       "      <td>156.369797</td>\n",
       "      <td>0.001110</td>\n",
       "      <td>0.011110</td>\n",
       "      <td>0.001110</td>\n",
       "      <td>0.011110</td>\n",
       "      <td>1.995904</td>\n",
       "      <td>1404.974609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 06:30:00</th>\n",
       "      <td>0.023421</td>\n",
       "      <td>0.023421</td>\n",
       "      <td>0.023421</td>\n",
       "      <td>0.023421</td>\n",
       "      <td>0.022663</td>\n",
       "      <td>0.967600</td>\n",
       "      <td>0.014520</td>\n",
       "      <td>0.015342</td>\n",
       "      <td>0.014510</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.321949</td>\n",
       "      <td>21.883301</td>\n",
       "      <td>0.001125</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>0.001125</td>\n",
       "      <td>0.001200</td>\n",
       "      <td>0.619334</td>\n",
       "      <td>441.371613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 07:00:00</th>\n",
       "      <td>0.023038</td>\n",
       "      <td>0.023100</td>\n",
       "      <td>0.023038</td>\n",
       "      <td>0.023100</td>\n",
       "      <td>0.005663</td>\n",
       "      <td>0.245200</td>\n",
       "      <td>0.015350</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.014510</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>5.496416</td>\n",
       "      <td>369.994202</td>\n",
       "      <td>0.001190</td>\n",
       "      <td>0.001410</td>\n",
       "      <td>0.001080</td>\n",
       "      <td>0.001410</td>\n",
       "      <td>2.049713</td>\n",
       "      <td>1798.664062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 07:30:00</th>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.005128</td>\n",
       "      <td>0.222700</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>0.015050</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>1.160088</td>\n",
       "      <td>75.875801</td>\n",
       "      <td>0.001320</td>\n",
       "      <td>0.001867</td>\n",
       "      <td>0.001040</td>\n",
       "      <td>0.001040</td>\n",
       "      <td>3.425346</td>\n",
       "      <td>2460.367920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 08:00:00</th>\n",
       "      <td>0.023026</td>\n",
       "      <td>0.023420</td>\n",
       "      <td>0.023026</td>\n",
       "      <td>0.023029</td>\n",
       "      <td>0.353329</td>\n",
       "      <td>15.309300</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>0.015103</td>\n",
       "      <td>0.015149</td>\n",
       "      <td>1.449590</td>\n",
       "      <td>93.675102</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>0.001800</td>\n",
       "      <td>0.001320</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>2.395254</td>\n",
       "      <td>1450.168701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 08:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023420</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.031986</td>\n",
       "      <td>1.386400</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015111</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>1.483967</td>\n",
       "      <td>93.716499</td>\n",
       "      <td>0.001930</td>\n",
       "      <td>0.001940</td>\n",
       "      <td>0.001600</td>\n",
       "      <td>0.001600</td>\n",
       "      <td>5.102005</td>\n",
       "      <td>2842.072021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 09:00:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.014403</td>\n",
       "      <td>0.625500</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015327</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.808186</td>\n",
       "      <td>51.574699</td>\n",
       "      <td>0.001800</td>\n",
       "      <td>0.002700</td>\n",
       "      <td>0.001760</td>\n",
       "      <td>0.001930</td>\n",
       "      <td>9.023416</td>\n",
       "      <td>4452.659668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 09:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.022038</td>\n",
       "      <td>0.950200</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.611756</td>\n",
       "      <td>38.797901</td>\n",
       "      <td>0.001252</td>\n",
       "      <td>0.001780</td>\n",
       "      <td>0.001252</td>\n",
       "      <td>0.001780</td>\n",
       "      <td>2.684633</td>\n",
       "      <td>1781.344360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 10:00:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.037687</td>\n",
       "      <td>1.624600</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>0.015980</td>\n",
       "      <td>0.015658</td>\n",
       "      <td>0.015980</td>\n",
       "      <td>1.305152</td>\n",
       "      <td>83.099098</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>0.001800</td>\n",
       "      <td>0.001370</td>\n",
       "      <td>0.001465</td>\n",
       "      <td>0.582902</td>\n",
       "      <td>393.504395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 10:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.007686</td>\n",
       "      <td>0.331400</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015396</td>\n",
       "      <td>0.015650</td>\n",
       "      <td>1.035374</td>\n",
       "      <td>64.767998</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>3.449471</td>\n",
       "      <td>1806.058594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 11:00:00</th>\n",
       "      <td>0.023418</td>\n",
       "      <td>0.023418</td>\n",
       "      <td>0.023418</td>\n",
       "      <td>0.023418</td>\n",
       "      <td>0.023418</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.015119</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015111</td>\n",
       "      <td>0.015980</td>\n",
       "      <td>2.999820</td>\n",
       "      <td>190.303802</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.001790</td>\n",
       "      <td>0.001999</td>\n",
       "      <td>2.536090</td>\n",
       "      <td>1270.478882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 11:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.059156</td>\n",
       "      <td>2.569100</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015111</td>\n",
       "      <td>0.015119</td>\n",
       "      <td>0.518863</td>\n",
       "      <td>34.062599</td>\n",
       "      <td>0.001469</td>\n",
       "      <td>0.001850</td>\n",
       "      <td>0.001469</td>\n",
       "      <td>0.001850</td>\n",
       "      <td>2.144056</td>\n",
       "      <td>1318.990356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 12:00:00</th>\n",
       "      <td>0.023414</td>\n",
       "      <td>0.023414</td>\n",
       "      <td>0.023414</td>\n",
       "      <td>0.023414</td>\n",
       "      <td>0.068545</td>\n",
       "      <td>2.927500</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>1.277838</td>\n",
       "      <td>83.992401</td>\n",
       "      <td>0.002180</td>\n",
       "      <td>0.002180</td>\n",
       "      <td>0.001594</td>\n",
       "      <td>0.001594</td>\n",
       "      <td>0.891866</td>\n",
       "      <td>445.721802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 12:30:00</th>\n",
       "      <td>0.023409</td>\n",
       "      <td>0.023409</td>\n",
       "      <td>0.023409</td>\n",
       "      <td>0.023409</td>\n",
       "      <td>0.001400</td>\n",
       "      <td>0.059800</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>7.734338</td>\n",
       "      <td>507.866211</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 13:00:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.094094</td>\n",
       "      <td>4.054200</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015500</td>\n",
       "      <td>0.015670</td>\n",
       "      <td>2.108728</td>\n",
       "      <td>135.026093</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002189</td>\n",
       "      <td>0.001824</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>2.457004</td>\n",
       "      <td>1207.615845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 13:30:00</th>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023400</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023400</td>\n",
       "      <td>0.030565</td>\n",
       "      <td>1.318200</td>\n",
       "      <td>0.015812</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.015812</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>7.215445</td>\n",
       "      <td>450.966400</td>\n",
       "      <td>0.002002</td>\n",
       "      <td>0.002200</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002189</td>\n",
       "      <td>1.278166</td>\n",
       "      <td>592.451721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 14:00:00</th>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.023050</td>\n",
       "      <td>0.073974</td>\n",
       "      <td>3.183400</td>\n",
       "      <td>0.015446</td>\n",
       "      <td>0.015990</td>\n",
       "      <td>0.015446</td>\n",
       "      <td>0.015446</td>\n",
       "      <td>2.004976</td>\n",
       "      <td>128.225800</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002300</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.002002</td>\n",
       "      <td>3.455345</td>\n",
       "      <td>1588.773804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 14:30:00</th>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015868</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.014288</td>\n",
       "      <td>0.015889</td>\n",
       "      <td>4.151054</td>\n",
       "      <td>277.807190</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>0.002800</td>\n",
       "      <td>0.002070</td>\n",
       "      <td>0.002070</td>\n",
       "      <td>12.403766</td>\n",
       "      <td>5021.875977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 15:00:00</th>\n",
       "      <td>0.023160</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023160</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.019881</td>\n",
       "      <td>0.850200</td>\n",
       "      <td>0.015960</td>\n",
       "      <td>0.015979</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>3.191634</td>\n",
       "      <td>202.929794</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.002200</td>\n",
       "      <td>0.002670</td>\n",
       "      <td>16.717419</td>\n",
       "      <td>5765.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 15:30:00</th>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023408</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023160</td>\n",
       "      <td>0.934453</td>\n",
       "      <td>40.586800</td>\n",
       "      <td>0.015396</td>\n",
       "      <td>0.015838</td>\n",
       "      <td>0.015396</td>\n",
       "      <td>0.015600</td>\n",
       "      <td>2.078391</td>\n",
       "      <td>133.140106</td>\n",
       "      <td>0.002800</td>\n",
       "      <td>0.003270</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>0.002900</td>\n",
       "      <td>31.239510</td>\n",
       "      <td>10526.804688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 16:00:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023407</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023407</td>\n",
       "      <td>0.363492</td>\n",
       "      <td>15.799400</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.329114</td>\n",
       "      <td>21.308300</td>\n",
       "      <td>0.003290</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>0.002700</td>\n",
       "      <td>0.002720</td>\n",
       "      <td>17.100437</td>\n",
       "      <td>5458.317383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 16:30:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.271593</td>\n",
       "      <td>11.807300</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>0.014700</td>\n",
       "      <td>0.015450</td>\n",
       "      <td>2.284134</td>\n",
       "      <td>151.404007</td>\n",
       "      <td>0.004690</td>\n",
       "      <td>0.006000</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>70.831444</td>\n",
       "      <td>17873.626953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 17:00:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.055575</td>\n",
       "      <td>2.409300</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015390</td>\n",
       "      <td>0.014950</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>1.321608</td>\n",
       "      <td>87.975800</td>\n",
       "      <td>0.003340</td>\n",
       "      <td>0.004500</td>\n",
       "      <td>0.003031</td>\n",
       "      <td>0.004500</td>\n",
       "      <td>20.828947</td>\n",
       "      <td>5533.049316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 17:30:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.679097</td>\n",
       "      <td>29.458000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>0.003808</td>\n",
       "      <td>0.250200</td>\n",
       "      <td>0.003950</td>\n",
       "      <td>0.003950</td>\n",
       "      <td>0.002216</td>\n",
       "      <td>0.003310</td>\n",
       "      <td>18.371737</td>\n",
       "      <td>6569.975098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 18:00:00</th>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>0.115721</td>\n",
       "      <td>4.988000</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>0.014950</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>1.449422</td>\n",
       "      <td>96.481102</td>\n",
       "      <td>0.003500</td>\n",
       "      <td>0.003990</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.003950</td>\n",
       "      <td>19.149166</td>\n",
       "      <td>5459.770508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 18:30:00</th>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.014856</td>\n",
       "      <td>0.645700</td>\n",
       "      <td>0.015352</td>\n",
       "      <td>0.015352</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>1.084782</td>\n",
       "      <td>71.904198</td>\n",
       "      <td>0.003700</td>\n",
       "      <td>0.003907</td>\n",
       "      <td>0.003465</td>\n",
       "      <td>0.003465</td>\n",
       "      <td>6.955287</td>\n",
       "      <td>1840.305908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 19:00:00</th>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.047459</td>\n",
       "      <td>2.038400</td>\n",
       "      <td>0.015005</td>\n",
       "      <td>0.015480</td>\n",
       "      <td>0.015005</td>\n",
       "      <td>0.015200</td>\n",
       "      <td>1.144843</td>\n",
       "      <td>76.125000</td>\n",
       "      <td>0.003700</td>\n",
       "      <td>0.003899</td>\n",
       "      <td>0.003650</td>\n",
       "      <td>0.003825</td>\n",
       "      <td>4.688448</td>\n",
       "      <td>1235.570190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 19:30:00</th>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.107424</td>\n",
       "      <td>4.590500</td>\n",
       "      <td>0.014950</td>\n",
       "      <td>0.015100</td>\n",
       "      <td>0.014950</td>\n",
       "      <td>0.015005</td>\n",
       "      <td>0.764598</td>\n",
       "      <td>50.961102</td>\n",
       "      <td>0.003740</td>\n",
       "      <td>0.003779</td>\n",
       "      <td>0.003697</td>\n",
       "      <td>0.003700</td>\n",
       "      <td>4.765787</td>\n",
       "      <td>1278.033813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 20:00:00</th>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023001</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.054595</td>\n",
       "      <td>2.334000</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.014951</td>\n",
       "      <td>0.015400</td>\n",
       "      <td>0.307216</td>\n",
       "      <td>20.242901</td>\n",
       "      <td>0.003810</td>\n",
       "      <td>0.004179</td>\n",
       "      <td>0.003700</td>\n",
       "      <td>0.003740</td>\n",
       "      <td>9.082610</td>\n",
       "      <td>2326.187744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-19 20:30:00</th>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.023402</td>\n",
       "      <td>0.599039</td>\n",
       "      <td>25.598301</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.015150</td>\n",
       "      <td>0.039417</td>\n",
       "      <td>2.601800</td>\n",
       "      <td>0.004450</td>\n",
       "      <td>0.004450</td>\n",
       "      <td>0.003960</td>\n",
       "      <td>0.004000</td>\n",
       "      <td>5.771838</td>\n",
       "      <td>1374.612915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 15:30:00</th>\n",
       "      <td>0.004240</td>\n",
       "      <td>0.004242</td>\n",
       "      <td>0.004223</td>\n",
       "      <td>0.004223</td>\n",
       "      <td>0.902628</td>\n",
       "      <td>213.296402</td>\n",
       "      <td>0.016217</td>\n",
       "      <td>0.016240</td>\n",
       "      <td>0.016104</td>\n",
       "      <td>0.016240</td>\n",
       "      <td>3.368059</td>\n",
       "      <td>208.258698</td>\n",
       "      <td>0.012999</td>\n",
       "      <td>0.013080</td>\n",
       "      <td>0.012990</td>\n",
       "      <td>0.013080</td>\n",
       "      <td>13.764748</td>\n",
       "      <td>1056.132446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 16:00:00</th>\n",
       "      <td>0.004247</td>\n",
       "      <td>0.004247</td>\n",
       "      <td>0.004230</td>\n",
       "      <td>0.004240</td>\n",
       "      <td>3.981343</td>\n",
       "      <td>937.566711</td>\n",
       "      <td>0.016170</td>\n",
       "      <td>0.016300</td>\n",
       "      <td>0.016071</td>\n",
       "      <td>0.016217</td>\n",
       "      <td>14.081318</td>\n",
       "      <td>871.229675</td>\n",
       "      <td>0.012960</td>\n",
       "      <td>0.013014</td>\n",
       "      <td>0.012922</td>\n",
       "      <td>0.012990</td>\n",
       "      <td>19.773813</td>\n",
       "      <td>1525.487915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 16:30:00</th>\n",
       "      <td>0.004239</td>\n",
       "      <td>0.004248</td>\n",
       "      <td>0.004233</td>\n",
       "      <td>0.004246</td>\n",
       "      <td>0.518569</td>\n",
       "      <td>122.233398</td>\n",
       "      <td>0.016218</td>\n",
       "      <td>0.016279</td>\n",
       "      <td>0.016120</td>\n",
       "      <td>0.016196</td>\n",
       "      <td>5.120440</td>\n",
       "      <td>316.448303</td>\n",
       "      <td>0.013190</td>\n",
       "      <td>0.013200</td>\n",
       "      <td>0.012910</td>\n",
       "      <td>0.012948</td>\n",
       "      <td>175.732056</td>\n",
       "      <td>13410.916992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 17:00:00</th>\n",
       "      <td>0.004230</td>\n",
       "      <td>0.004254</td>\n",
       "      <td>0.004230</td>\n",
       "      <td>0.004248</td>\n",
       "      <td>2.802318</td>\n",
       "      <td>660.370300</td>\n",
       "      <td>0.016158</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016120</td>\n",
       "      <td>0.016218</td>\n",
       "      <td>5.331674</td>\n",
       "      <td>329.266815</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>0.013199</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>0.013194</td>\n",
       "      <td>15.294087</td>\n",
       "      <td>1164.887207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 17:30:00</th>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.004248</td>\n",
       "      <td>0.004219</td>\n",
       "      <td>0.004227</td>\n",
       "      <td>0.709948</td>\n",
       "      <td>167.902893</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016158</td>\n",
       "      <td>0.016158</td>\n",
       "      <td>1.672528</td>\n",
       "      <td>103.314301</td>\n",
       "      <td>0.013097</td>\n",
       "      <td>0.013159</td>\n",
       "      <td>0.012981</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>38.860748</td>\n",
       "      <td>2973.272705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 18:00:00</th>\n",
       "      <td>0.004234</td>\n",
       "      <td>0.004238</td>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.004230</td>\n",
       "      <td>0.396342</td>\n",
       "      <td>93.864601</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016162</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>3.470650</td>\n",
       "      <td>214.131897</td>\n",
       "      <td>0.013151</td>\n",
       "      <td>0.013210</td>\n",
       "      <td>0.013060</td>\n",
       "      <td>0.013091</td>\n",
       "      <td>65.602135</td>\n",
       "      <td>4976.354980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 18:30:00</th>\n",
       "      <td>0.004234</td>\n",
       "      <td>0.004244</td>\n",
       "      <td>0.004228</td>\n",
       "      <td>0.004234</td>\n",
       "      <td>2.782868</td>\n",
       "      <td>656.930176</td>\n",
       "      <td>0.016328</td>\n",
       "      <td>0.016328</td>\n",
       "      <td>0.016162</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>20.836437</td>\n",
       "      <td>1277.687866</td>\n",
       "      <td>0.013200</td>\n",
       "      <td>0.013210</td>\n",
       "      <td>0.013151</td>\n",
       "      <td>0.013170</td>\n",
       "      <td>7.057232</td>\n",
       "      <td>535.337830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 19:00:00</th>\n",
       "      <td>0.004234</td>\n",
       "      <td>0.004244</td>\n",
       "      <td>0.004234</td>\n",
       "      <td>0.004234</td>\n",
       "      <td>1.762961</td>\n",
       "      <td>415.573395</td>\n",
       "      <td>0.016298</td>\n",
       "      <td>0.016328</td>\n",
       "      <td>0.016298</td>\n",
       "      <td>0.016300</td>\n",
       "      <td>1.224432</td>\n",
       "      <td>75.113998</td>\n",
       "      <td>0.013092</td>\n",
       "      <td>0.013200</td>\n",
       "      <td>0.013092</td>\n",
       "      <td>0.013191</td>\n",
       "      <td>11.943639</td>\n",
       "      <td>907.751892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 19:30:00</th>\n",
       "      <td>0.004219</td>\n",
       "      <td>0.004243</td>\n",
       "      <td>0.004215</td>\n",
       "      <td>0.004234</td>\n",
       "      <td>9.524260</td>\n",
       "      <td>2252.598633</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>0.016327</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016298</td>\n",
       "      <td>5.123699</td>\n",
       "      <td>314.760315</td>\n",
       "      <td>0.013121</td>\n",
       "      <td>0.013126</td>\n",
       "      <td>0.013081</td>\n",
       "      <td>0.013092</td>\n",
       "      <td>12.277806</td>\n",
       "      <td>937.860413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 20:00:00</th>\n",
       "      <td>0.004242</td>\n",
       "      <td>0.004242</td>\n",
       "      <td>0.004220</td>\n",
       "      <td>0.004220</td>\n",
       "      <td>2.662878</td>\n",
       "      <td>630.122009</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>0.016307</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>1.287997</td>\n",
       "      <td>79.217003</td>\n",
       "      <td>0.013087</td>\n",
       "      <td>0.013121</td>\n",
       "      <td>0.013085</td>\n",
       "      <td>0.013094</td>\n",
       "      <td>2.838113</td>\n",
       "      <td>216.759705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 20:30:00</th>\n",
       "      <td>0.004239</td>\n",
       "      <td>0.004242</td>\n",
       "      <td>0.004223</td>\n",
       "      <td>0.004242</td>\n",
       "      <td>7.040715</td>\n",
       "      <td>1664.227295</td>\n",
       "      <td>0.016310</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>4.781244</td>\n",
       "      <td>292.842896</td>\n",
       "      <td>0.013014</td>\n",
       "      <td>0.013114</td>\n",
       "      <td>0.013014</td>\n",
       "      <td>0.013087</td>\n",
       "      <td>11.177767</td>\n",
       "      <td>856.201721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 21:00:00</th>\n",
       "      <td>0.004238</td>\n",
       "      <td>0.004240</td>\n",
       "      <td>0.004225</td>\n",
       "      <td>0.004239</td>\n",
       "      <td>1.381644</td>\n",
       "      <td>326.710693</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016270</td>\n",
       "      <td>0.016270</td>\n",
       "      <td>4.923599</td>\n",
       "      <td>301.542786</td>\n",
       "      <td>0.013043</td>\n",
       "      <td>0.013058</td>\n",
       "      <td>0.013014</td>\n",
       "      <td>0.013014</td>\n",
       "      <td>7.139503</td>\n",
       "      <td>548.092712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 21:30:00</th>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.004238</td>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.004225</td>\n",
       "      <td>2.797171</td>\n",
       "      <td>661.310730</td>\n",
       "      <td>0.016290</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016290</td>\n",
       "      <td>0.016290</td>\n",
       "      <td>2.351681</td>\n",
       "      <td>144.343506</td>\n",
       "      <td>0.013024</td>\n",
       "      <td>0.013064</td>\n",
       "      <td>0.012973</td>\n",
       "      <td>0.013064</td>\n",
       "      <td>15.196840</td>\n",
       "      <td>1169.011230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 22:00:00</th>\n",
       "      <td>0.004245</td>\n",
       "      <td>0.004245</td>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.004224</td>\n",
       "      <td>5.168664</td>\n",
       "      <td>1221.083984</td>\n",
       "      <td>0.016140</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016126</td>\n",
       "      <td>0.016317</td>\n",
       "      <td>18.847517</td>\n",
       "      <td>1160.558716</td>\n",
       "      <td>0.013049</td>\n",
       "      <td>0.013082</td>\n",
       "      <td>0.013019</td>\n",
       "      <td>0.013033</td>\n",
       "      <td>13.465547</td>\n",
       "      <td>1031.997803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 22:30:00</th>\n",
       "      <td>0.004231</td>\n",
       "      <td>0.004245</td>\n",
       "      <td>0.004227</td>\n",
       "      <td>0.004240</td>\n",
       "      <td>0.427217</td>\n",
       "      <td>100.868500</td>\n",
       "      <td>0.016140</td>\n",
       "      <td>0.016234</td>\n",
       "      <td>0.016140</td>\n",
       "      <td>0.016140</td>\n",
       "      <td>1.586739</td>\n",
       "      <td>98.242401</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>0.013013</td>\n",
       "      <td>0.013049</td>\n",
       "      <td>7.508334</td>\n",
       "      <td>575.199402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 23:00:00</th>\n",
       "      <td>0.004240</td>\n",
       "      <td>0.004311</td>\n",
       "      <td>0.004231</td>\n",
       "      <td>0.004231</td>\n",
       "      <td>24.080179</td>\n",
       "      <td>5632.762695</td>\n",
       "      <td>0.016230</td>\n",
       "      <td>0.016233</td>\n",
       "      <td>0.016127</td>\n",
       "      <td>0.016140</td>\n",
       "      <td>6.267624</td>\n",
       "      <td>386.617310</td>\n",
       "      <td>0.013066</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>0.013056</td>\n",
       "      <td>0.013099</td>\n",
       "      <td>11.815472</td>\n",
       "      <td>903.446594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-21 23:30:00</th>\n",
       "      <td>0.004236</td>\n",
       "      <td>0.004245</td>\n",
       "      <td>0.004220</td>\n",
       "      <td>0.004240</td>\n",
       "      <td>3.613784</td>\n",
       "      <td>854.670105</td>\n",
       "      <td>0.016220</td>\n",
       "      <td>0.016230</td>\n",
       "      <td>0.016131</td>\n",
       "      <td>0.016131</td>\n",
       "      <td>0.767921</td>\n",
       "      <td>47.429699</td>\n",
       "      <td>0.013037</td>\n",
       "      <td>0.013085</td>\n",
       "      <td>0.013013</td>\n",
       "      <td>0.013075</td>\n",
       "      <td>7.509257</td>\n",
       "      <td>576.257385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 00:00:00</th>\n",
       "      <td>0.004210</td>\n",
       "      <td>0.004268</td>\n",
       "      <td>0.004208</td>\n",
       "      <td>0.004235</td>\n",
       "      <td>10.927131</td>\n",
       "      <td>2586.035400</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016259</td>\n",
       "      <td>0.016156</td>\n",
       "      <td>0.016220</td>\n",
       "      <td>3.170950</td>\n",
       "      <td>195.215607</td>\n",
       "      <td>0.012981</td>\n",
       "      <td>0.013037</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>0.013037</td>\n",
       "      <td>42.820141</td>\n",
       "      <td>3306.199707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 00:30:00</th>\n",
       "      <td>0.004198</td>\n",
       "      <td>0.004223</td>\n",
       "      <td>0.004185</td>\n",
       "      <td>0.004210</td>\n",
       "      <td>12.178608</td>\n",
       "      <td>2901.425293</td>\n",
       "      <td>0.016130</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016130</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>2.599715</td>\n",
       "      <td>160.755905</td>\n",
       "      <td>0.012988</td>\n",
       "      <td>0.012992</td>\n",
       "      <td>0.012953</td>\n",
       "      <td>0.012970</td>\n",
       "      <td>18.693605</td>\n",
       "      <td>1439.709961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 01:00:00</th>\n",
       "      <td>0.004180</td>\n",
       "      <td>0.004201</td>\n",
       "      <td>0.004180</td>\n",
       "      <td>0.004185</td>\n",
       "      <td>4.309223</td>\n",
       "      <td>1028.932373</td>\n",
       "      <td>0.016150</td>\n",
       "      <td>0.016213</td>\n",
       "      <td>0.016130</td>\n",
       "      <td>0.016130</td>\n",
       "      <td>1.946634</td>\n",
       "      <td>120.242401</td>\n",
       "      <td>0.013018</td>\n",
       "      <td>0.013018</td>\n",
       "      <td>0.012984</td>\n",
       "      <td>0.012984</td>\n",
       "      <td>4.275237</td>\n",
       "      <td>329.021088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 01:30:00</th>\n",
       "      <td>0.004193</td>\n",
       "      <td>0.004193</td>\n",
       "      <td>0.004177</td>\n",
       "      <td>0.004182</td>\n",
       "      <td>2.423690</td>\n",
       "      <td>579.752319</td>\n",
       "      <td>0.016180</td>\n",
       "      <td>0.016240</td>\n",
       "      <td>0.016150</td>\n",
       "      <td>0.016150</td>\n",
       "      <td>5.277963</td>\n",
       "      <td>325.512909</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>0.013018</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>0.013017</td>\n",
       "      <td>38.343555</td>\n",
       "      <td>2964.132324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 02:00:00</th>\n",
       "      <td>0.004180</td>\n",
       "      <td>0.004194</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.004177</td>\n",
       "      <td>11.360030</td>\n",
       "      <td>2716.172607</td>\n",
       "      <td>0.016236</td>\n",
       "      <td>0.016240</td>\n",
       "      <td>0.016159</td>\n",
       "      <td>0.016180</td>\n",
       "      <td>0.890858</td>\n",
       "      <td>54.929001</td>\n",
       "      <td>0.012965</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>3.827774</td>\n",
       "      <td>294.839508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 02:30:00</th>\n",
       "      <td>0.004165</td>\n",
       "      <td>0.004180</td>\n",
       "      <td>0.004152</td>\n",
       "      <td>0.004180</td>\n",
       "      <td>22.758385</td>\n",
       "      <td>5465.259766</td>\n",
       "      <td>0.016259</td>\n",
       "      <td>0.016259</td>\n",
       "      <td>0.016169</td>\n",
       "      <td>0.016220</td>\n",
       "      <td>4.026737</td>\n",
       "      <td>247.832504</td>\n",
       "      <td>0.013006</td>\n",
       "      <td>0.013008</td>\n",
       "      <td>0.012955</td>\n",
       "      <td>0.012955</td>\n",
       "      <td>5.009834</td>\n",
       "      <td>385.932190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 03:00:00</th>\n",
       "      <td>0.004156</td>\n",
       "      <td>0.004195</td>\n",
       "      <td>0.004155</td>\n",
       "      <td>0.004166</td>\n",
       "      <td>7.154735</td>\n",
       "      <td>1713.548706</td>\n",
       "      <td>0.016231</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>0.016188</td>\n",
       "      <td>0.016259</td>\n",
       "      <td>4.915900</td>\n",
       "      <td>302.988800</td>\n",
       "      <td>0.013000</td>\n",
       "      <td>0.013038</td>\n",
       "      <td>0.012975</td>\n",
       "      <td>0.013006</td>\n",
       "      <td>5.012068</td>\n",
       "      <td>385.220490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 03:30:00</th>\n",
       "      <td>0.004159</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>0.004150</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>12.094599</td>\n",
       "      <td>2912.451172</td>\n",
       "      <td>0.016294</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.016231</td>\n",
       "      <td>12.083299</td>\n",
       "      <td>741.877686</td>\n",
       "      <td>0.012979</td>\n",
       "      <td>0.013062</td>\n",
       "      <td>0.012965</td>\n",
       "      <td>0.013000</td>\n",
       "      <td>10.934875</td>\n",
       "      <td>839.385620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 04:00:00</th>\n",
       "      <td>0.004145</td>\n",
       "      <td>0.004159</td>\n",
       "      <td>0.004137</td>\n",
       "      <td>0.004150</td>\n",
       "      <td>12.359952</td>\n",
       "      <td>2981.219482</td>\n",
       "      <td>0.016331</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016150</td>\n",
       "      <td>0.016245</td>\n",
       "      <td>9.846511</td>\n",
       "      <td>604.524292</td>\n",
       "      <td>0.012976</td>\n",
       "      <td>0.013070</td>\n",
       "      <td>0.012971</td>\n",
       "      <td>0.012979</td>\n",
       "      <td>6.414314</td>\n",
       "      <td>492.644409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 04:30:00</th>\n",
       "      <td>0.004136</td>\n",
       "      <td>0.004159</td>\n",
       "      <td>0.004135</td>\n",
       "      <td>0.004159</td>\n",
       "      <td>3.929579</td>\n",
       "      <td>947.898682</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016181</td>\n",
       "      <td>0.016232</td>\n",
       "      <td>2.600681</td>\n",
       "      <td>159.870499</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>0.013000</td>\n",
       "      <td>0.012971</td>\n",
       "      <td>0.012976</td>\n",
       "      <td>2.078846</td>\n",
       "      <td>160.042603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 05:00:00</th>\n",
       "      <td>0.004160</td>\n",
       "      <td>0.004160</td>\n",
       "      <td>0.004136</td>\n",
       "      <td>0.004136</td>\n",
       "      <td>1.836689</td>\n",
       "      <td>442.009186</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016189</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>3.066367</td>\n",
       "      <td>188.080704</td>\n",
       "      <td>0.012980</td>\n",
       "      <td>0.013019</td>\n",
       "      <td>0.012971</td>\n",
       "      <td>0.012979</td>\n",
       "      <td>1.950490</td>\n",
       "      <td>150.070602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 05:30:00</th>\n",
       "      <td>0.004179</td>\n",
       "      <td>0.004179</td>\n",
       "      <td>0.004150</td>\n",
       "      <td>0.004152</td>\n",
       "      <td>1.224472</td>\n",
       "      <td>294.140198</td>\n",
       "      <td>0.016262</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016248</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.992135</td>\n",
       "      <td>60.806702</td>\n",
       "      <td>0.012980</td>\n",
       "      <td>0.013040</td>\n",
       "      <td>0.012980</td>\n",
       "      <td>0.012980</td>\n",
       "      <td>2.710882</td>\n",
       "      <td>208.389206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 06:00:00</th>\n",
       "      <td>0.004169</td>\n",
       "      <td>0.004183</td>\n",
       "      <td>0.004163</td>\n",
       "      <td>0.004180</td>\n",
       "      <td>2.599358</td>\n",
       "      <td>622.501526</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016248</td>\n",
       "      <td>0.016263</td>\n",
       "      <td>0.331264</td>\n",
       "      <td>20.321301</td>\n",
       "      <td>0.012969</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>0.012934</td>\n",
       "      <td>0.012980</td>\n",
       "      <td>7.975751</td>\n",
       "      <td>615.462280</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>46993 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Pair                   LTCBTC                                           \\\n",
       "Price                   close      high       low      open     volume   \n",
       "date                                                                     \n",
       "2014-05-19 06:00:00  0.023234  0.023234  0.023234  0.023234   0.538670   \n",
       "2014-05-19 06:30:00  0.023421  0.023421  0.023421  0.023421   0.022663   \n",
       "2014-05-19 07:00:00  0.023038  0.023100  0.023038  0.023100   0.005663   \n",
       "2014-05-19 07:30:00  0.023029  0.023029  0.023029  0.023029   0.005128   \n",
       "2014-05-19 08:00:00  0.023026  0.023420  0.023026  0.023029   0.353329   \n",
       "2014-05-19 08:30:00  0.023025  0.023420  0.023025  0.023025   0.031986   \n",
       "2014-05-19 09:00:00  0.023025  0.023025  0.023025  0.023025   0.014403   \n",
       "2014-05-19 09:30:00  0.023025  0.023200  0.023025  0.023200   0.022038   \n",
       "2014-05-19 10:00:00  0.023025  0.023200  0.023025  0.023200   0.037687   \n",
       "2014-05-19 10:30:00  0.023025  0.023200  0.023025  0.023200   0.007686   \n",
       "2014-05-19 11:00:00  0.023418  0.023418  0.023418  0.023418   0.023418   \n",
       "2014-05-19 11:30:00  0.023025  0.023025  0.023025  0.023025   0.059156   \n",
       "2014-05-19 12:00:00  0.023414  0.023414  0.023414  0.023414   0.068545   \n",
       "2014-05-19 12:30:00  0.023409  0.023409  0.023409  0.023409   0.001400   \n",
       "2014-05-19 13:00:00  0.023025  0.023408  0.023025  0.023408   0.094094   \n",
       "2014-05-19 13:30:00  0.023025  0.023400  0.023025  0.023400   0.030565   \n",
       "2014-05-19 14:00:00  0.023408  0.023408  0.023025  0.023050   0.073974   \n",
       "2014-05-19 14:30:00  0.023408  0.023408  0.023408  0.023408   0.000000   \n",
       "2014-05-19 15:00:00  0.023160  0.023408  0.023160  0.023408   0.019881   \n",
       "2014-05-19 15:30:00  0.023408  0.023408  0.023001  0.023160   0.934453   \n",
       "2014-05-19 16:00:00  0.023001  0.023407  0.023001  0.023407   0.363492   \n",
       "2014-05-19 16:30:00  0.023001  0.023200  0.023001  0.023001   0.271593   \n",
       "2014-05-19 17:00:00  0.023001  0.023200  0.023001  0.023001   0.055575   \n",
       "2014-05-19 17:30:00  0.023001  0.023191  0.023001  0.023001   0.679097   \n",
       "2014-05-19 18:00:00  0.023200  0.023200  0.023191  0.023191   0.115721   \n",
       "2014-05-19 18:30:00  0.023001  0.023200  0.023001  0.023200   0.014856   \n",
       "2014-05-19 19:00:00  0.023402  0.023402  0.023001  0.023001   0.047459   \n",
       "2014-05-19 19:30:00  0.023402  0.023402  0.023402  0.023402   0.107424   \n",
       "2014-05-19 20:00:00  0.023402  0.023402  0.023001  0.023402   0.054595   \n",
       "2014-05-19 20:30:00  0.023402  0.023402  0.023402  0.023402   0.599039   \n",
       "...                       ...       ...       ...       ...        ...   \n",
       "2017-01-21 15:30:00  0.004240  0.004242  0.004223  0.004223   0.902628   \n",
       "2017-01-21 16:00:00  0.004247  0.004247  0.004230  0.004240   3.981343   \n",
       "2017-01-21 16:30:00  0.004239  0.004248  0.004233  0.004246   0.518569   \n",
       "2017-01-21 17:00:00  0.004230  0.004254  0.004230  0.004248   2.802318   \n",
       "2017-01-21 17:30:00  0.004222  0.004248  0.004219  0.004227   0.709948   \n",
       "2017-01-21 18:00:00  0.004234  0.004238  0.004222  0.004230   0.396342   \n",
       "2017-01-21 18:30:00  0.004234  0.004244  0.004228  0.004234   2.782868   \n",
       "2017-01-21 19:00:00  0.004234  0.004244  0.004234  0.004234   1.762961   \n",
       "2017-01-21 19:30:00  0.004219  0.004243  0.004215  0.004234   9.524260   \n",
       "2017-01-21 20:00:00  0.004242  0.004242  0.004220  0.004220   2.662878   \n",
       "2017-01-21 20:30:00  0.004239  0.004242  0.004223  0.004242   7.040715   \n",
       "2017-01-21 21:00:00  0.004238  0.004240  0.004225  0.004239   1.381644   \n",
       "2017-01-21 21:30:00  0.004222  0.004238  0.004222  0.004225   2.797171   \n",
       "2017-01-21 22:00:00  0.004245  0.004245  0.004222  0.004224   5.168664   \n",
       "2017-01-21 22:30:00  0.004231  0.004245  0.004227  0.004240   0.427217   \n",
       "2017-01-21 23:00:00  0.004240  0.004311  0.004231  0.004231  24.080179   \n",
       "2017-01-21 23:30:00  0.004236  0.004245  0.004220  0.004240   3.613784   \n",
       "2017-01-22 00:00:00  0.004210  0.004268  0.004208  0.004235  10.927131   \n",
       "2017-01-22 00:30:00  0.004198  0.004223  0.004185  0.004210  12.178608   \n",
       "2017-01-22 01:00:00  0.004180  0.004201  0.004180  0.004185   4.309223   \n",
       "2017-01-22 01:30:00  0.004193  0.004193  0.004177  0.004182   2.423690   \n",
       "2017-01-22 02:00:00  0.004180  0.004194  0.004176  0.004177  11.360030   \n",
       "2017-01-22 02:30:00  0.004165  0.004180  0.004152  0.004180  22.758385   \n",
       "2017-01-22 03:00:00  0.004156  0.004195  0.004155  0.004166   7.154735   \n",
       "2017-01-22 03:30:00  0.004159  0.004168  0.004150  0.004168  12.094599   \n",
       "2017-01-22 04:00:00  0.004145  0.004159  0.004137  0.004150  12.359952   \n",
       "2017-01-22 04:30:00  0.004136  0.004159  0.004135  0.004159   3.929579   \n",
       "2017-01-22 05:00:00  0.004160  0.004160  0.004136  0.004136   1.836689   \n",
       "2017-01-22 05:30:00  0.004179  0.004179  0.004150  0.004152   1.224472   \n",
       "2017-01-22 06:00:00  0.004169  0.004183  0.004163  0.004180   2.599358   \n",
       "\n",
       "Pair                               DASHBTC                                \\\n",
       "Price                quoteVolume     close      high       low      open   \n",
       "date                                                                       \n",
       "2014-05-19 06:00:00    23.184900  0.015199  0.015199  0.014502  0.014970   \n",
       "2014-05-19 06:30:00     0.967600  0.014520  0.015342  0.014510  0.015199   \n",
       "2014-05-19 07:00:00     0.245200  0.015350  0.015400  0.014510  0.015000   \n",
       "2014-05-19 07:30:00     0.222700  0.015600  0.015600  0.015050  0.015200   \n",
       "2014-05-19 08:00:00    15.309300  0.015600  0.015600  0.015103  0.015149   \n",
       "2014-05-19 08:30:00     1.386400  0.016000  0.016000  0.015111  0.015700   \n",
       "2014-05-19 09:00:00     0.625500  0.016000  0.016000  0.015327  0.016000   \n",
       "2014-05-19 09:30:00     0.950200  0.015700  0.016000  0.015700  0.016000   \n",
       "2014-05-19 10:00:00     1.624600  0.015700  0.015980  0.015658  0.015980   \n",
       "2014-05-19 10:30:00     0.331400  0.016000  0.016000  0.015396  0.015650   \n",
       "2014-05-19 11:00:00     1.000000  0.015119  0.016000  0.015111  0.015980   \n",
       "2014-05-19 11:30:00     2.569100  0.015450  0.015450  0.015111  0.015119   \n",
       "2014-05-19 12:00:00     2.927500  0.015200  0.015450  0.015200  0.015450   \n",
       "2014-05-19 12:30:00     0.059800  0.015400  0.015400  0.015200  0.015200   \n",
       "2014-05-19 13:00:00     4.054200  0.016000  0.016000  0.015500  0.015670   \n",
       "2014-05-19 13:30:00     1.318200  0.015812  0.016000  0.015812  0.016000   \n",
       "2014-05-19 14:00:00     3.183400  0.015446  0.015990  0.015446  0.015446   \n",
       "2014-05-19 14:30:00     0.000000  0.015868  0.016000  0.014288  0.015889   \n",
       "2014-05-19 15:00:00     0.850200  0.015960  0.015979  0.015000  0.015000   \n",
       "2014-05-19 15:30:00    40.586800  0.015396  0.015838  0.015396  0.015600   \n",
       "2014-05-19 16:00:00    15.799400  0.015450  0.015450  0.015400  0.015400   \n",
       "2014-05-19 16:30:00    11.807300  0.015000  0.015450  0.014700  0.015450   \n",
       "2014-05-19 17:00:00     2.409300  0.015000  0.015390  0.014950  0.015000   \n",
       "2014-05-19 17:30:00    29.458000  0.015000  0.015250  0.015000  0.015250   \n",
       "2014-05-19 18:00:00     4.988000  0.015150  0.015250  0.014950  0.015000   \n",
       "2014-05-19 18:30:00     0.645700  0.015352  0.015352  0.015000  0.015000   \n",
       "2014-05-19 19:00:00     2.038400  0.015005  0.015480  0.015005  0.015200   \n",
       "2014-05-19 19:30:00     4.590500  0.014950  0.015100  0.014950  0.015005   \n",
       "2014-05-19 20:00:00     2.334000  0.015199  0.015400  0.014951  0.015400   \n",
       "2014-05-19 20:30:00    25.598301  0.015150  0.015150  0.015150  0.015150   \n",
       "...                          ...       ...       ...       ...       ...   \n",
       "2017-01-21 15:30:00   213.296402  0.016217  0.016240  0.016104  0.016240   \n",
       "2017-01-21 16:00:00   937.566711  0.016170  0.016300  0.016071  0.016217   \n",
       "2017-01-21 16:30:00   122.233398  0.016218  0.016279  0.016120  0.016196   \n",
       "2017-01-21 17:00:00   660.370300  0.016158  0.016250  0.016120  0.016218   \n",
       "2017-01-21 17:30:00   167.902893  0.016250  0.016250  0.016158  0.016158   \n",
       "2017-01-21 18:00:00    93.864601  0.016250  0.016250  0.016162  0.016250   \n",
       "2017-01-21 18:30:00   656.930176  0.016328  0.016328  0.016162  0.016250   \n",
       "2017-01-21 19:00:00   415.573395  0.016298  0.016328  0.016298  0.016300   \n",
       "2017-01-21 19:30:00  2252.598633  0.016267  0.016327  0.016250  0.016298   \n",
       "2017-01-21 20:00:00   630.122009  0.016267  0.016307  0.016250  0.016250   \n",
       "2017-01-21 20:30:00  1664.227295  0.016310  0.016339  0.016267  0.016267   \n",
       "2017-01-21 21:00:00   326.710693  0.016339  0.016339  0.016270  0.016270   \n",
       "2017-01-21 21:30:00   661.310730  0.016290  0.016339  0.016290  0.016290   \n",
       "2017-01-21 22:00:00  1221.083984  0.016140  0.016339  0.016126  0.016317   \n",
       "2017-01-21 22:30:00   100.868500  0.016140  0.016234  0.016140  0.016140   \n",
       "2017-01-21 23:00:00  5632.762695  0.016230  0.016233  0.016127  0.016140   \n",
       "2017-01-21 23:30:00   854.670105  0.016220  0.016230  0.016131  0.016131   \n",
       "2017-01-22 00:00:00  2586.035400  0.016250  0.016259  0.016156  0.016220   \n",
       "2017-01-22 00:30:00  2901.425293  0.016130  0.016250  0.016130  0.016250   \n",
       "2017-01-22 01:00:00  1028.932373  0.016150  0.016213  0.016130  0.016130   \n",
       "2017-01-22 01:30:00   579.752319  0.016180  0.016240  0.016150  0.016150   \n",
       "2017-01-22 02:00:00  2716.172607  0.016236  0.016240  0.016159  0.016180   \n",
       "2017-01-22 02:30:00  5465.259766  0.016259  0.016259  0.016169  0.016220   \n",
       "2017-01-22 03:00:00  1713.548706  0.016231  0.016267  0.016188  0.016259   \n",
       "2017-01-22 03:30:00  2912.451172  0.016294  0.016339  0.016200  0.016231   \n",
       "2017-01-22 04:00:00  2981.219482  0.016331  0.016339  0.016150  0.016245   \n",
       "2017-01-22 04:30:00   947.898682  0.016339  0.016339  0.016181  0.016232   \n",
       "2017-01-22 05:00:00   442.009186  0.016250  0.016339  0.016189  0.016339   \n",
       "2017-01-22 05:30:00   294.140198  0.016262  0.016339  0.016248  0.016250   \n",
       "2017-01-22 06:00:00   622.501526  0.016339  0.016339  0.016248  0.016263   \n",
       "\n",
       "Pair                                           XMRBTC                      \\\n",
       "Price                   volume  quoteVolume     close      high       low   \n",
       "date                                                                        \n",
       "2014-05-19 06:00:00   2.343284   156.369797  0.001110  0.011110  0.001110   \n",
       "2014-05-19 06:30:00   0.321949    21.883301  0.001125  0.001500  0.001125   \n",
       "2014-05-19 07:00:00   5.496416   369.994202  0.001190  0.001410  0.001080   \n",
       "2014-05-19 07:30:00   1.160088    75.875801  0.001320  0.001867  0.001040   \n",
       "2014-05-19 08:00:00   1.449590    93.675102  0.001700  0.001800  0.001320   \n",
       "2014-05-19 08:30:00   1.483967    93.716499  0.001930  0.001940  0.001600   \n",
       "2014-05-19 09:00:00   0.808186    51.574699  0.001800  0.002700  0.001760   \n",
       "2014-05-19 09:30:00   0.611756    38.797901  0.001252  0.001780  0.001252   \n",
       "2014-05-19 10:00:00   1.305152    83.099098  0.001500  0.001800  0.001370   \n",
       "2014-05-19 10:30:00   1.035374    64.767998  0.002000  0.002000  0.001700   \n",
       "2014-05-19 11:00:00   2.999820   190.303802  0.002000  0.002000  0.001790   \n",
       "2014-05-19 11:30:00   0.518863    34.062599  0.001469  0.001850  0.001469   \n",
       "2014-05-19 12:00:00   1.277838    83.992401  0.002180  0.002180  0.001594   \n",
       "2014-05-19 12:30:00   7.734338   507.866211  0.002000  0.002000  0.002000   \n",
       "2014-05-19 13:00:00   2.108728   135.026093  0.002000  0.002189  0.001824   \n",
       "2014-05-19 13:30:00   7.215445   450.966400  0.002002  0.002200  0.002000   \n",
       "2014-05-19 14:00:00   2.004976   128.225800  0.002000  0.002300  0.002000   \n",
       "2014-05-19 14:30:00   4.151054   277.807190  0.002500  0.002800  0.002070   \n",
       "2014-05-19 15:00:00   3.191634   202.929794  0.003000  0.003000  0.002200   \n",
       "2014-05-19 15:30:00   2.078391   133.140106  0.002800  0.003270  0.002500   \n",
       "2014-05-19 16:00:00   0.329114    21.308300  0.003290  0.003300  0.002700   \n",
       "2014-05-19 16:30:00   2.284134   151.404007  0.004690  0.006000  0.003000   \n",
       "2014-05-19 17:00:00   1.321608    87.975800  0.003340  0.004500  0.003031   \n",
       "2014-05-19 17:30:00   0.003808     0.250200  0.003950  0.003950  0.002216   \n",
       "2014-05-19 18:00:00   1.449422    96.481102  0.003500  0.003990  0.003000   \n",
       "2014-05-19 18:30:00   1.084782    71.904198  0.003700  0.003907  0.003465   \n",
       "2014-05-19 19:00:00   1.144843    76.125000  0.003700  0.003899  0.003650   \n",
       "2014-05-19 19:30:00   0.764598    50.961102  0.003740  0.003779  0.003697   \n",
       "2014-05-19 20:00:00   0.307216    20.242901  0.003810  0.004179  0.003700   \n",
       "2014-05-19 20:30:00   0.039417     2.601800  0.004450  0.004450  0.003960   \n",
       "...                        ...          ...       ...       ...       ...   \n",
       "2017-01-21 15:30:00   3.368059   208.258698  0.012999  0.013080  0.012990   \n",
       "2017-01-21 16:00:00  14.081318   871.229675  0.012960  0.013014  0.012922   \n",
       "2017-01-21 16:30:00   5.120440   316.448303  0.013190  0.013200  0.012910   \n",
       "2017-01-21 17:00:00   5.331674   329.266815  0.013100  0.013199  0.013100   \n",
       "2017-01-21 17:30:00   1.672528   103.314301  0.013097  0.013159  0.012981   \n",
       "2017-01-21 18:00:00   3.470650   214.131897  0.013151  0.013210  0.013060   \n",
       "2017-01-21 18:30:00  20.836437  1277.687866  0.013200  0.013210  0.013151   \n",
       "2017-01-21 19:00:00   1.224432    75.113998  0.013092  0.013200  0.013092   \n",
       "2017-01-21 19:30:00   5.123699   314.760315  0.013121  0.013126  0.013081   \n",
       "2017-01-21 20:00:00   1.287997    79.217003  0.013087  0.013121  0.013085   \n",
       "2017-01-21 20:30:00   4.781244   292.842896  0.013014  0.013114  0.013014   \n",
       "2017-01-21 21:00:00   4.923599   301.542786  0.013043  0.013058  0.013014   \n",
       "2017-01-21 21:30:00   2.351681   144.343506  0.013024  0.013064  0.012973   \n",
       "2017-01-21 22:00:00  18.847517  1160.558716  0.013049  0.013082  0.013019   \n",
       "2017-01-21 22:30:00   1.586739    98.242401  0.013100  0.013100  0.013013   \n",
       "2017-01-21 23:00:00   6.267624   386.617310  0.013066  0.013100  0.013056   \n",
       "2017-01-21 23:30:00   0.767921    47.429699  0.013037  0.013085  0.013013   \n",
       "2017-01-22 00:00:00   3.170950   195.215607  0.012981  0.013037  0.012900   \n",
       "2017-01-22 00:30:00   2.599715   160.755905  0.012988  0.012992  0.012953   \n",
       "2017-01-22 01:00:00   1.946634   120.242401  0.013018  0.013018  0.012984   \n",
       "2017-01-22 01:30:00   5.277963   325.512909  0.012900  0.013018  0.012900   \n",
       "2017-01-22 02:00:00   0.890858    54.929001  0.012965  0.013005  0.012900   \n",
       "2017-01-22 02:30:00   4.026737   247.832504  0.013006  0.013008  0.012955   \n",
       "2017-01-22 03:00:00   4.915900   302.988800  0.013000  0.013038  0.012975   \n",
       "2017-01-22 03:30:00  12.083299   741.877686  0.012979  0.013062  0.012965   \n",
       "2017-01-22 04:00:00   9.846511   604.524292  0.012976  0.013070  0.012971   \n",
       "2017-01-22 04:30:00   2.600681   159.870499  0.012987  0.013000  0.012971   \n",
       "2017-01-22 05:00:00   3.066367   188.080704  0.012980  0.013019  0.012971   \n",
       "2017-01-22 05:30:00   0.992135    60.806702  0.012980  0.013040  0.012980   \n",
       "2017-01-22 06:00:00   0.331264    20.321301  0.012969  0.013005  0.012934   \n",
       "\n",
       "Pair                                                     \n",
       "Price                    open      volume   quoteVolume  \n",
       "date                                                     \n",
       "2014-05-19 06:00:00  0.011110    1.995904   1404.974609  \n",
       "2014-05-19 06:30:00  0.001200    0.619334    441.371613  \n",
       "2014-05-19 07:00:00  0.001410    2.049713   1798.664062  \n",
       "2014-05-19 07:30:00  0.001040    3.425346   2460.367920  \n",
       "2014-05-19 08:00:00  0.001700    2.395254   1450.168701  \n",
       "2014-05-19 08:30:00  0.001600    5.102005   2842.072021  \n",
       "2014-05-19 09:00:00  0.001930    9.023416   4452.659668  \n",
       "2014-05-19 09:30:00  0.001780    2.684633   1781.344360  \n",
       "2014-05-19 10:00:00  0.001465    0.582902    393.504395  \n",
       "2014-05-19 10:30:00  0.001700    3.449471   1806.058594  \n",
       "2014-05-19 11:00:00  0.001999    2.536090   1270.478882  \n",
       "2014-05-19 11:30:00  0.001850    2.144056   1318.990356  \n",
       "2014-05-19 12:00:00  0.001594    0.891866    445.721802  \n",
       "2014-05-19 12:30:00  0.002000    0.040000     20.000000  \n",
       "2014-05-19 13:00:00  0.002000    2.457004   1207.615845  \n",
       "2014-05-19 13:30:00  0.002189    1.278166    592.451721  \n",
       "2014-05-19 14:00:00  0.002002    3.455345   1588.773804  \n",
       "2014-05-19 14:30:00  0.002070   12.403766   5021.875977  \n",
       "2014-05-19 15:00:00  0.002670   16.717419   5765.500000  \n",
       "2014-05-19 15:30:00  0.002900   31.239510  10526.804688  \n",
       "2014-05-19 16:00:00  0.002720   17.100437   5458.317383  \n",
       "2014-05-19 16:30:00  0.003300   70.831444  17873.626953  \n",
       "2014-05-19 17:00:00  0.004500   20.828947   5533.049316  \n",
       "2014-05-19 17:30:00  0.003310   18.371737   6569.975098  \n",
       "2014-05-19 18:00:00  0.003950   19.149166   5459.770508  \n",
       "2014-05-19 18:30:00  0.003465    6.955287   1840.305908  \n",
       "2014-05-19 19:00:00  0.003825    4.688448   1235.570190  \n",
       "2014-05-19 19:30:00  0.003700    4.765787   1278.033813  \n",
       "2014-05-19 20:00:00  0.003740    9.082610   2326.187744  \n",
       "2014-05-19 20:30:00  0.004000    5.771838   1374.612915  \n",
       "...                       ...         ...           ...  \n",
       "2017-01-21 15:30:00  0.013080   13.764748   1056.132446  \n",
       "2017-01-21 16:00:00  0.012990   19.773813   1525.487915  \n",
       "2017-01-21 16:30:00  0.012948  175.732056  13410.916992  \n",
       "2017-01-21 17:00:00  0.013194   15.294087   1164.887207  \n",
       "2017-01-21 17:30:00  0.013100   38.860748   2973.272705  \n",
       "2017-01-21 18:00:00  0.013091   65.602135   4976.354980  \n",
       "2017-01-21 18:30:00  0.013170    7.057232    535.337830  \n",
       "2017-01-21 19:00:00  0.013191   11.943639    907.751892  \n",
       "2017-01-21 19:30:00  0.013092   12.277806    937.860413  \n",
       "2017-01-21 20:00:00  0.013094    2.838113    216.759705  \n",
       "2017-01-21 20:30:00  0.013087   11.177767    856.201721  \n",
       "2017-01-21 21:00:00  0.013014    7.139503    548.092712  \n",
       "2017-01-21 21:30:00  0.013064   15.196840   1169.011230  \n",
       "2017-01-21 22:00:00  0.013033   13.465547   1031.997803  \n",
       "2017-01-21 22:30:00  0.013049    7.508334    575.199402  \n",
       "2017-01-21 23:00:00  0.013099   11.815472    903.446594  \n",
       "2017-01-21 23:30:00  0.013075    7.509257    576.257385  \n",
       "2017-01-22 00:00:00  0.013037   42.820141   3306.199707  \n",
       "2017-01-22 00:30:00  0.012970   18.693605   1439.709961  \n",
       "2017-01-22 01:00:00  0.012984    4.275237    329.021088  \n",
       "2017-01-22 01:30:00  0.013017   38.343555   2964.132324  \n",
       "2017-01-22 02:00:00  0.012900    3.827774    294.839508  \n",
       "2017-01-22 02:30:00  0.012955    5.009834    385.932190  \n",
       "2017-01-22 03:00:00  0.013006    5.012068    385.220490  \n",
       "2017-01-22 03:30:00  0.013000   10.934875    839.385620  \n",
       "2017-01-22 04:00:00  0.012979    6.414314    492.644409  \n",
       "2017-01-22 04:30:00  0.012976    2.078846    160.042603  \n",
       "2017-01-22 05:00:00  0.012979    1.950490    150.070602  \n",
       "2017-01-22 05:30:00  0.012980    2.710882    208.389206  \n",
       "2017-01-22 06:00:00  0.012980    7.975751    615.462280  \n",
       "\n",
       "[46993 rows x 18 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# save\n",
    "df_train.to_hdf('./data/poloniex_30m_vol.hf',key='train', mode='w', append=False)\n",
    "df_test.to_hdf('./data/poloniex_30m_vol.hf',key='test', mode='a', append=False)\n",
    "df_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:33:29.168066Z",
     "start_time": "2017-11-11T07:33:29.077842Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Pair</th>\n",
       "      <th colspan=\"4\" halign=\"left\">DASHBTC</th>\n",
       "      <th colspan=\"4\" halign=\"left\">LTCBTC</th>\n",
       "      <th colspan=\"4\" halign=\"left\">XMRBTC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-01-22 06:30:00</th>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.016255</td>\n",
       "      <td>0.016255</td>\n",
       "      <td>0.004157</td>\n",
       "      <td>0.004177</td>\n",
       "      <td>0.004157</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.012963</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>0.012930</td>\n",
       "      <td>0.012974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 07:00:00</th>\n",
       "      <td>0.016251</td>\n",
       "      <td>0.016340</td>\n",
       "      <td>0.016251</td>\n",
       "      <td>0.016339</td>\n",
       "      <td>0.004172</td>\n",
       "      <td>0.004172</td>\n",
       "      <td>0.004157</td>\n",
       "      <td>0.004171</td>\n",
       "      <td>0.012973</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>0.012930</td>\n",
       "      <td>0.012931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 07:30:00</th>\n",
       "      <td>0.016308</td>\n",
       "      <td>0.016308</td>\n",
       "      <td>0.016251</td>\n",
       "      <td>0.016251</td>\n",
       "      <td>0.004157</td>\n",
       "      <td>0.004171</td>\n",
       "      <td>0.004157</td>\n",
       "      <td>0.004161</td>\n",
       "      <td>0.012995</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>0.012968</td>\n",
       "      <td>0.012973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 08:00:00</th>\n",
       "      <td>0.016310</td>\n",
       "      <td>0.016325</td>\n",
       "      <td>0.016215</td>\n",
       "      <td>0.016308</td>\n",
       "      <td>0.004166</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>0.004157</td>\n",
       "      <td>0.004168</td>\n",
       "      <td>0.012950</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>0.012938</td>\n",
       "      <td>0.012995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 08:30:00</th>\n",
       "      <td>0.016270</td>\n",
       "      <td>0.016340</td>\n",
       "      <td>0.016221</td>\n",
       "      <td>0.016221</td>\n",
       "      <td>0.004170</td>\n",
       "      <td>0.004171</td>\n",
       "      <td>0.004157</td>\n",
       "      <td>0.004157</td>\n",
       "      <td>0.012957</td>\n",
       "      <td>0.012965</td>\n",
       "      <td>0.012903</td>\n",
       "      <td>0.012950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 09:00:00</th>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016340</td>\n",
       "      <td>0.016221</td>\n",
       "      <td>0.016340</td>\n",
       "      <td>0.004151</td>\n",
       "      <td>0.004162</td>\n",
       "      <td>0.004146</td>\n",
       "      <td>0.004162</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>0.013000</td>\n",
       "      <td>0.012880</td>\n",
       "      <td>0.012958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 09:30:00</th>\n",
       "      <td>0.016398</td>\n",
       "      <td>0.016460</td>\n",
       "      <td>0.016240</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.004147</td>\n",
       "      <td>0.004147</td>\n",
       "      <td>0.012847</td>\n",
       "      <td>0.012913</td>\n",
       "      <td>0.012820</td>\n",
       "      <td>0.012900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 10:00:00</th>\n",
       "      <td>0.016422</td>\n",
       "      <td>0.016470</td>\n",
       "      <td>0.016325</td>\n",
       "      <td>0.016325</td>\n",
       "      <td>0.004192</td>\n",
       "      <td>0.004192</td>\n",
       "      <td>0.004153</td>\n",
       "      <td>0.004153</td>\n",
       "      <td>0.013000</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>0.012863</td>\n",
       "      <td>0.012863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 10:30:00</th>\n",
       "      <td>0.016600</td>\n",
       "      <td>0.016600</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.016422</td>\n",
       "      <td>0.004182</td>\n",
       "      <td>0.004194</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.004192</td>\n",
       "      <td>0.012960</td>\n",
       "      <td>0.013005</td>\n",
       "      <td>0.012883</td>\n",
       "      <td>0.012982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 11:00:00</th>\n",
       "      <td>0.016616</td>\n",
       "      <td>0.016648</td>\n",
       "      <td>0.016546</td>\n",
       "      <td>0.016572</td>\n",
       "      <td>0.004192</td>\n",
       "      <td>0.004201</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.004190</td>\n",
       "      <td>0.012893</td>\n",
       "      <td>0.012953</td>\n",
       "      <td>0.012847</td>\n",
       "      <td>0.012901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 11:30:00</th>\n",
       "      <td>0.016658</td>\n",
       "      <td>0.016678</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>0.016616</td>\n",
       "      <td>0.004193</td>\n",
       "      <td>0.004198</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.012973</td>\n",
       "      <td>0.012975</td>\n",
       "      <td>0.012861</td>\n",
       "      <td>0.012893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 12:00:00</th>\n",
       "      <td>0.016850</td>\n",
       "      <td>0.016850</td>\n",
       "      <td>0.016600</td>\n",
       "      <td>0.016661</td>\n",
       "      <td>0.004220</td>\n",
       "      <td>0.004240</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>0.004178</td>\n",
       "      <td>0.013130</td>\n",
       "      <td>0.013130</td>\n",
       "      <td>0.012940</td>\n",
       "      <td>0.012973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 12:30:00</th>\n",
       "      <td>0.016815</td>\n",
       "      <td>0.016852</td>\n",
       "      <td>0.016727</td>\n",
       "      <td>0.016849</td>\n",
       "      <td>0.004238</td>\n",
       "      <td>0.004244</td>\n",
       "      <td>0.004203</td>\n",
       "      <td>0.004220</td>\n",
       "      <td>0.013125</td>\n",
       "      <td>0.013195</td>\n",
       "      <td>0.013081</td>\n",
       "      <td>0.013130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 13:00:00</th>\n",
       "      <td>0.016733</td>\n",
       "      <td>0.016849</td>\n",
       "      <td>0.016716</td>\n",
       "      <td>0.016815</td>\n",
       "      <td>0.004215</td>\n",
       "      <td>0.004236</td>\n",
       "      <td>0.004211</td>\n",
       "      <td>0.004214</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>0.013128</td>\n",
       "      <td>0.013083</td>\n",
       "      <td>0.013125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 13:30:00</th>\n",
       "      <td>0.016730</td>\n",
       "      <td>0.016864</td>\n",
       "      <td>0.016700</td>\n",
       "      <td>0.016733</td>\n",
       "      <td>0.004242</td>\n",
       "      <td>0.004243</td>\n",
       "      <td>0.004215</td>\n",
       "      <td>0.004225</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>0.013119</td>\n",
       "      <td>0.013078</td>\n",
       "      <td>0.013100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 14:00:00</th>\n",
       "      <td>0.016778</td>\n",
       "      <td>0.016840</td>\n",
       "      <td>0.016708</td>\n",
       "      <td>0.016708</td>\n",
       "      <td>0.004273</td>\n",
       "      <td>0.004292</td>\n",
       "      <td>0.004242</td>\n",
       "      <td>0.004242</td>\n",
       "      <td>0.013170</td>\n",
       "      <td>0.013200</td>\n",
       "      <td>0.013078</td>\n",
       "      <td>0.013100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 14:30:00</th>\n",
       "      <td>0.016850</td>\n",
       "      <td>0.016887</td>\n",
       "      <td>0.016719</td>\n",
       "      <td>0.016778</td>\n",
       "      <td>0.004241</td>\n",
       "      <td>0.004280</td>\n",
       "      <td>0.004240</td>\n",
       "      <td>0.004277</td>\n",
       "      <td>0.013140</td>\n",
       "      <td>0.013200</td>\n",
       "      <td>0.013120</td>\n",
       "      <td>0.013200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 15:00:00</th>\n",
       "      <td>0.016800</td>\n",
       "      <td>0.016844</td>\n",
       "      <td>0.016726</td>\n",
       "      <td>0.016732</td>\n",
       "      <td>0.004221</td>\n",
       "      <td>0.004260</td>\n",
       "      <td>0.004216</td>\n",
       "      <td>0.004257</td>\n",
       "      <td>0.013133</td>\n",
       "      <td>0.013142</td>\n",
       "      <td>0.013074</td>\n",
       "      <td>0.013140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 15:30:00</th>\n",
       "      <td>0.016754</td>\n",
       "      <td>0.016755</td>\n",
       "      <td>0.016726</td>\n",
       "      <td>0.016755</td>\n",
       "      <td>0.004220</td>\n",
       "      <td>0.004251</td>\n",
       "      <td>0.004216</td>\n",
       "      <td>0.004221</td>\n",
       "      <td>0.013060</td>\n",
       "      <td>0.013160</td>\n",
       "      <td>0.013059</td>\n",
       "      <td>0.013116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 16:00:00</th>\n",
       "      <td>0.016758</td>\n",
       "      <td>0.016822</td>\n",
       "      <td>0.016699</td>\n",
       "      <td>0.016750</td>\n",
       "      <td>0.004194</td>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.004194</td>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.013160</td>\n",
       "      <td>0.013160</td>\n",
       "      <td>0.013057</td>\n",
       "      <td>0.013059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 16:30:00</th>\n",
       "      <td>0.016827</td>\n",
       "      <td>0.016827</td>\n",
       "      <td>0.016710</td>\n",
       "      <td>0.016710</td>\n",
       "      <td>0.004228</td>\n",
       "      <td>0.004229</td>\n",
       "      <td>0.004194</td>\n",
       "      <td>0.004194</td>\n",
       "      <td>0.013162</td>\n",
       "      <td>0.013165</td>\n",
       "      <td>0.013107</td>\n",
       "      <td>0.013140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 17:00:00</th>\n",
       "      <td>0.016844</td>\n",
       "      <td>0.016844</td>\n",
       "      <td>0.016800</td>\n",
       "      <td>0.016827</td>\n",
       "      <td>0.004219</td>\n",
       "      <td>0.004228</td>\n",
       "      <td>0.004205</td>\n",
       "      <td>0.004228</td>\n",
       "      <td>0.013172</td>\n",
       "      <td>0.013192</td>\n",
       "      <td>0.013162</td>\n",
       "      <td>0.013162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 17:30:00</th>\n",
       "      <td>0.016831</td>\n",
       "      <td>0.016870</td>\n",
       "      <td>0.016831</td>\n",
       "      <td>0.016844</td>\n",
       "      <td>0.004195</td>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.004195</td>\n",
       "      <td>0.004206</td>\n",
       "      <td>0.013162</td>\n",
       "      <td>0.013200</td>\n",
       "      <td>0.013162</td>\n",
       "      <td>0.013172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 18:00:00</th>\n",
       "      <td>0.016500</td>\n",
       "      <td>0.016870</td>\n",
       "      <td>0.016481</td>\n",
       "      <td>0.016831</td>\n",
       "      <td>0.004197</td>\n",
       "      <td>0.004211</td>\n",
       "      <td>0.004195</td>\n",
       "      <td>0.004199</td>\n",
       "      <td>0.013156</td>\n",
       "      <td>0.013195</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>0.013162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 18:30:00</th>\n",
       "      <td>0.016370</td>\n",
       "      <td>0.016496</td>\n",
       "      <td>0.016350</td>\n",
       "      <td>0.016496</td>\n",
       "      <td>0.004211</td>\n",
       "      <td>0.004211</td>\n",
       "      <td>0.004195</td>\n",
       "      <td>0.004211</td>\n",
       "      <td>0.013135</td>\n",
       "      <td>0.013198</td>\n",
       "      <td>0.013130</td>\n",
       "      <td>0.013156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 19:00:00</th>\n",
       "      <td>0.016437</td>\n",
       "      <td>0.016579</td>\n",
       "      <td>0.016250</td>\n",
       "      <td>0.016360</td>\n",
       "      <td>0.004205</td>\n",
       "      <td>0.004224</td>\n",
       "      <td>0.004198</td>\n",
       "      <td>0.004198</td>\n",
       "      <td>0.013100</td>\n",
       "      <td>0.013163</td>\n",
       "      <td>0.013086</td>\n",
       "      <td>0.013135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 19:30:00</th>\n",
       "      <td>0.016545</td>\n",
       "      <td>0.016574</td>\n",
       "      <td>0.016441</td>\n",
       "      <td>0.016441</td>\n",
       "      <td>0.004221</td>\n",
       "      <td>0.004222</td>\n",
       "      <td>0.004200</td>\n",
       "      <td>0.004205</td>\n",
       "      <td>0.013091</td>\n",
       "      <td>0.013125</td>\n",
       "      <td>0.013050</td>\n",
       "      <td>0.013100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 20:00:00</th>\n",
       "      <td>0.016471</td>\n",
       "      <td>0.016545</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.016500</td>\n",
       "      <td>0.004188</td>\n",
       "      <td>0.004226</td>\n",
       "      <td>0.004185</td>\n",
       "      <td>0.004221</td>\n",
       "      <td>0.013065</td>\n",
       "      <td>0.013141</td>\n",
       "      <td>0.013058</td>\n",
       "      <td>0.013091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 20:30:00</th>\n",
       "      <td>0.016505</td>\n",
       "      <td>0.016538</td>\n",
       "      <td>0.016450</td>\n",
       "      <td>0.016500</td>\n",
       "      <td>0.004174</td>\n",
       "      <td>0.004202</td>\n",
       "      <td>0.004174</td>\n",
       "      <td>0.004202</td>\n",
       "      <td>0.013071</td>\n",
       "      <td>0.013110</td>\n",
       "      <td>0.013050</td>\n",
       "      <td>0.013065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22 21:00:00</th>\n",
       "      <td>0.016600</td>\n",
       "      <td>0.016602</td>\n",
       "      <td>0.016500</td>\n",
       "      <td>0.016505</td>\n",
       "      <td>0.004182</td>\n",
       "      <td>0.004183</td>\n",
       "      <td>0.004173</td>\n",
       "      <td>0.004174</td>\n",
       "      <td>0.013051</td>\n",
       "      <td>0.013092</td>\n",
       "      <td>0.013033</td>\n",
       "      <td>0.013050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 09:00:00</th>\n",
       "      <td>0.072300</td>\n",
       "      <td>0.072809</td>\n",
       "      <td>0.072012</td>\n",
       "      <td>0.072809</td>\n",
       "      <td>0.019103</td>\n",
       "      <td>0.019238</td>\n",
       "      <td>0.019043</td>\n",
       "      <td>0.019215</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016151</td>\n",
       "      <td>0.016220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 09:30:00</th>\n",
       "      <td>0.072481</td>\n",
       "      <td>0.072619</td>\n",
       "      <td>0.072300</td>\n",
       "      <td>0.072425</td>\n",
       "      <td>0.019012</td>\n",
       "      <td>0.019128</td>\n",
       "      <td>0.019005</td>\n",
       "      <td>0.019103</td>\n",
       "      <td>0.016214</td>\n",
       "      <td>0.016396</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.016200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 10:00:00</th>\n",
       "      <td>0.071730</td>\n",
       "      <td>0.072584</td>\n",
       "      <td>0.071729</td>\n",
       "      <td>0.072481</td>\n",
       "      <td>0.019098</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019000</td>\n",
       "      <td>0.019032</td>\n",
       "      <td>0.016263</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016211</td>\n",
       "      <td>0.016214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 10:30:00</th>\n",
       "      <td>0.071670</td>\n",
       "      <td>0.072127</td>\n",
       "      <td>0.071585</td>\n",
       "      <td>0.071730</td>\n",
       "      <td>0.019193</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>0.016367</td>\n",
       "      <td>0.016263</td>\n",
       "      <td>0.016279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 11:00:00</th>\n",
       "      <td>0.072920</td>\n",
       "      <td>0.072920</td>\n",
       "      <td>0.071670</td>\n",
       "      <td>0.071771</td>\n",
       "      <td>0.019300</td>\n",
       "      <td>0.019500</td>\n",
       "      <td>0.019193</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016408</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>0.016304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 11:30:00</th>\n",
       "      <td>0.073171</td>\n",
       "      <td>0.073316</td>\n",
       "      <td>0.072640</td>\n",
       "      <td>0.072640</td>\n",
       "      <td>0.019386</td>\n",
       "      <td>0.019455</td>\n",
       "      <td>0.019300</td>\n",
       "      <td>0.019300</td>\n",
       "      <td>0.016490</td>\n",
       "      <td>0.016490</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 12:00:00</th>\n",
       "      <td>0.073020</td>\n",
       "      <td>0.073434</td>\n",
       "      <td>0.072867</td>\n",
       "      <td>0.073170</td>\n",
       "      <td>0.019363</td>\n",
       "      <td>0.019492</td>\n",
       "      <td>0.019345</td>\n",
       "      <td>0.019386</td>\n",
       "      <td>0.016433</td>\n",
       "      <td>0.016499</td>\n",
       "      <td>0.016365</td>\n",
       "      <td>0.016490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 12:30:00</th>\n",
       "      <td>0.073400</td>\n",
       "      <td>0.073400</td>\n",
       "      <td>0.073020</td>\n",
       "      <td>0.073070</td>\n",
       "      <td>0.019385</td>\n",
       "      <td>0.019388</td>\n",
       "      <td>0.019257</td>\n",
       "      <td>0.019345</td>\n",
       "      <td>0.016441</td>\n",
       "      <td>0.016499</td>\n",
       "      <td>0.016353</td>\n",
       "      <td>0.016499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 13:00:00</th>\n",
       "      <td>0.073230</td>\n",
       "      <td>0.073500</td>\n",
       "      <td>0.073221</td>\n",
       "      <td>0.073400</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.019388</td>\n",
       "      <td>0.019086</td>\n",
       "      <td>0.019385</td>\n",
       "      <td>0.016410</td>\n",
       "      <td>0.016437</td>\n",
       "      <td>0.016337</td>\n",
       "      <td>0.016437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 13:30:00</th>\n",
       "      <td>0.073168</td>\n",
       "      <td>0.073500</td>\n",
       "      <td>0.072830</td>\n",
       "      <td>0.073230</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019258</td>\n",
       "      <td>0.019135</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.016351</td>\n",
       "      <td>0.016425</td>\n",
       "      <td>0.016334</td>\n",
       "      <td>0.016410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 14:00:00</th>\n",
       "      <td>0.072918</td>\n",
       "      <td>0.073487</td>\n",
       "      <td>0.072800</td>\n",
       "      <td>0.073193</td>\n",
       "      <td>0.019073</td>\n",
       "      <td>0.019202</td>\n",
       "      <td>0.019037</td>\n",
       "      <td>0.019202</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 14:30:00</th>\n",
       "      <td>0.072642</td>\n",
       "      <td>0.073489</td>\n",
       "      <td>0.072639</td>\n",
       "      <td>0.073000</td>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019036</td>\n",
       "      <td>0.019079</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016377</td>\n",
       "      <td>0.016306</td>\n",
       "      <td>0.016306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 15:00:00</th>\n",
       "      <td>0.072485</td>\n",
       "      <td>0.073480</td>\n",
       "      <td>0.072056</td>\n",
       "      <td>0.072642</td>\n",
       "      <td>0.019214</td>\n",
       "      <td>0.019268</td>\n",
       "      <td>0.019150</td>\n",
       "      <td>0.019187</td>\n",
       "      <td>0.016120</td>\n",
       "      <td>0.016392</td>\n",
       "      <td>0.016046</td>\n",
       "      <td>0.016306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 15:30:00</th>\n",
       "      <td>0.071605</td>\n",
       "      <td>0.072485</td>\n",
       "      <td>0.071605</td>\n",
       "      <td>0.072298</td>\n",
       "      <td>0.019110</td>\n",
       "      <td>0.019275</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019216</td>\n",
       "      <td>0.016027</td>\n",
       "      <td>0.016200</td>\n",
       "      <td>0.015992</td>\n",
       "      <td>0.016200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 16:00:00</th>\n",
       "      <td>0.072035</td>\n",
       "      <td>0.072104</td>\n",
       "      <td>0.071100</td>\n",
       "      <td>0.071605</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>0.019186</td>\n",
       "      <td>0.018950</td>\n",
       "      <td>0.019110</td>\n",
       "      <td>0.016020</td>\n",
       "      <td>0.016080</td>\n",
       "      <td>0.015960</td>\n",
       "      <td>0.016010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 16:30:00</th>\n",
       "      <td>0.072100</td>\n",
       "      <td>0.072486</td>\n",
       "      <td>0.071455</td>\n",
       "      <td>0.072033</td>\n",
       "      <td>0.019220</td>\n",
       "      <td>0.019220</td>\n",
       "      <td>0.019085</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>0.016030</td>\n",
       "      <td>0.016100</td>\n",
       "      <td>0.016002</td>\n",
       "      <td>0.016070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 17:00:00</th>\n",
       "      <td>0.072656</td>\n",
       "      <td>0.072656</td>\n",
       "      <td>0.071630</td>\n",
       "      <td>0.072100</td>\n",
       "      <td>0.019203</td>\n",
       "      <td>0.019245</td>\n",
       "      <td>0.019101</td>\n",
       "      <td>0.019220</td>\n",
       "      <td>0.016229</td>\n",
       "      <td>0.016232</td>\n",
       "      <td>0.016115</td>\n",
       "      <td>0.016115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 17:30:00</th>\n",
       "      <td>0.072889</td>\n",
       "      <td>0.073760</td>\n",
       "      <td>0.072511</td>\n",
       "      <td>0.072635</td>\n",
       "      <td>0.019021</td>\n",
       "      <td>0.019194</td>\n",
       "      <td>0.018983</td>\n",
       "      <td>0.019180</td>\n",
       "      <td>0.016057</td>\n",
       "      <td>0.016232</td>\n",
       "      <td>0.016030</td>\n",
       "      <td>0.016218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 18:00:00</th>\n",
       "      <td>0.072943</td>\n",
       "      <td>0.073016</td>\n",
       "      <td>0.072492</td>\n",
       "      <td>0.072610</td>\n",
       "      <td>0.019112</td>\n",
       "      <td>0.019112</td>\n",
       "      <td>0.018986</td>\n",
       "      <td>0.019045</td>\n",
       "      <td>0.016128</td>\n",
       "      <td>0.016157</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.016038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 18:30:00</th>\n",
       "      <td>0.072984</td>\n",
       "      <td>0.073311</td>\n",
       "      <td>0.072563</td>\n",
       "      <td>0.072563</td>\n",
       "      <td>0.019124</td>\n",
       "      <td>0.019174</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019090</td>\n",
       "      <td>0.016389</td>\n",
       "      <td>0.016399</td>\n",
       "      <td>0.016100</td>\n",
       "      <td>0.016110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 19:00:00</th>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.073138</td>\n",
       "      <td>0.072381</td>\n",
       "      <td>0.072984</td>\n",
       "      <td>0.019095</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.019070</td>\n",
       "      <td>0.019124</td>\n",
       "      <td>0.016366</td>\n",
       "      <td>0.016488</td>\n",
       "      <td>0.016300</td>\n",
       "      <td>0.016300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 19:30:00</th>\n",
       "      <td>0.071898</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.071570</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019125</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>0.016305</td>\n",
       "      <td>0.016488</td>\n",
       "      <td>0.016305</td>\n",
       "      <td>0.016362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 20:00:00</th>\n",
       "      <td>0.071810</td>\n",
       "      <td>0.072320</td>\n",
       "      <td>0.071586</td>\n",
       "      <td>0.071586</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019130</td>\n",
       "      <td>0.019000</td>\n",
       "      <td>0.019040</td>\n",
       "      <td>0.016180</td>\n",
       "      <td>0.016382</td>\n",
       "      <td>0.016175</td>\n",
       "      <td>0.016341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 20:30:00</th>\n",
       "      <td>0.072315</td>\n",
       "      <td>0.072750</td>\n",
       "      <td>0.071727</td>\n",
       "      <td>0.072091</td>\n",
       "      <td>0.019266</td>\n",
       "      <td>0.019281</td>\n",
       "      <td>0.019100</td>\n",
       "      <td>0.019130</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016380</td>\n",
       "      <td>0.016220</td>\n",
       "      <td>0.016318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 21:00:00</th>\n",
       "      <td>0.072148</td>\n",
       "      <td>0.072690</td>\n",
       "      <td>0.072067</td>\n",
       "      <td>0.072315</td>\n",
       "      <td>0.019344</td>\n",
       "      <td>0.019382</td>\n",
       "      <td>0.019224</td>\n",
       "      <td>0.019280</td>\n",
       "      <td>0.016360</td>\n",
       "      <td>0.016425</td>\n",
       "      <td>0.016281</td>\n",
       "      <td>0.016379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 21:30:00</th>\n",
       "      <td>0.072790</td>\n",
       "      <td>0.072791</td>\n",
       "      <td>0.072067</td>\n",
       "      <td>0.072148</td>\n",
       "      <td>0.019210</td>\n",
       "      <td>0.019365</td>\n",
       "      <td>0.019110</td>\n",
       "      <td>0.019365</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>0.016422</td>\n",
       "      <td>0.016227</td>\n",
       "      <td>0.016360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 22:00:00</th>\n",
       "      <td>0.072360</td>\n",
       "      <td>0.072790</td>\n",
       "      <td>0.072068</td>\n",
       "      <td>0.072500</td>\n",
       "      <td>0.019271</td>\n",
       "      <td>0.019309</td>\n",
       "      <td>0.019162</td>\n",
       "      <td>0.019204</td>\n",
       "      <td>0.016348</td>\n",
       "      <td>0.016401</td>\n",
       "      <td>0.016323</td>\n",
       "      <td>0.016348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 22:30:00</th>\n",
       "      <td>0.072500</td>\n",
       "      <td>0.072740</td>\n",
       "      <td>0.072169</td>\n",
       "      <td>0.072169</td>\n",
       "      <td>0.019263</td>\n",
       "      <td>0.019353</td>\n",
       "      <td>0.019143</td>\n",
       "      <td>0.019271</td>\n",
       "      <td>0.016269</td>\n",
       "      <td>0.016400</td>\n",
       "      <td>0.016262</td>\n",
       "      <td>0.016348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 23:00:00</th>\n",
       "      <td>0.072770</td>\n",
       "      <td>0.072826</td>\n",
       "      <td>0.072430</td>\n",
       "      <td>0.072500</td>\n",
       "      <td>0.019340</td>\n",
       "      <td>0.019380</td>\n",
       "      <td>0.019250</td>\n",
       "      <td>0.019263</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016365</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13 23:30:00</th>\n",
       "      <td>0.072494</td>\n",
       "      <td>0.072800</td>\n",
       "      <td>0.072450</td>\n",
       "      <td>0.072770</td>\n",
       "      <td>0.019462</td>\n",
       "      <td>0.019462</td>\n",
       "      <td>0.019339</td>\n",
       "      <td>0.019350</td>\n",
       "      <td>0.016289</td>\n",
       "      <td>0.016420</td>\n",
       "      <td>0.016260</td>\n",
       "      <td>0.016261</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8291 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Pair                  DASHBTC                                  LTCBTC  \\\n",
       "Price                   close      high       low      open     close   \n",
       "date                                                                    \n",
       "2017-01-22 06:30:00  0.016339  0.016339  0.016255  0.016255  0.004157   \n",
       "2017-01-22 07:00:00  0.016251  0.016340  0.016251  0.016339  0.004172   \n",
       "2017-01-22 07:30:00  0.016308  0.016308  0.016251  0.016251  0.004157   \n",
       "2017-01-22 08:00:00  0.016310  0.016325  0.016215  0.016308  0.004166   \n",
       "2017-01-22 08:30:00  0.016270  0.016340  0.016221  0.016221  0.004170   \n",
       "2017-01-22 09:00:00  0.016250  0.016340  0.016221  0.016340  0.004151   \n",
       "2017-01-22 09:30:00  0.016398  0.016460  0.016240  0.016250  0.004176   \n",
       "2017-01-22 10:00:00  0.016422  0.016470  0.016325  0.016325  0.004192   \n",
       "2017-01-22 10:30:00  0.016600  0.016600  0.016400  0.016422  0.004182   \n",
       "2017-01-22 11:00:00  0.016616  0.016648  0.016546  0.016572  0.004192   \n",
       "2017-01-22 11:30:00  0.016658  0.016678  0.016569  0.016616  0.004193   \n",
       "2017-01-22 12:00:00  0.016850  0.016850  0.016600  0.016661  0.004220   \n",
       "2017-01-22 12:30:00  0.016815  0.016852  0.016727  0.016849  0.004238   \n",
       "2017-01-22 13:00:00  0.016733  0.016849  0.016716  0.016815  0.004215   \n",
       "2017-01-22 13:30:00  0.016730  0.016864  0.016700  0.016733  0.004242   \n",
       "2017-01-22 14:00:00  0.016778  0.016840  0.016708  0.016708  0.004273   \n",
       "2017-01-22 14:30:00  0.016850  0.016887  0.016719  0.016778  0.004241   \n",
       "2017-01-22 15:00:00  0.016800  0.016844  0.016726  0.016732  0.004221   \n",
       "2017-01-22 15:30:00  0.016754  0.016755  0.016726  0.016755  0.004220   \n",
       "2017-01-22 16:00:00  0.016758  0.016822  0.016699  0.016750  0.004194   \n",
       "2017-01-22 16:30:00  0.016827  0.016827  0.016710  0.016710  0.004228   \n",
       "2017-01-22 17:00:00  0.016844  0.016844  0.016800  0.016827  0.004219   \n",
       "2017-01-22 17:30:00  0.016831  0.016870  0.016831  0.016844  0.004195   \n",
       "2017-01-22 18:00:00  0.016500  0.016870  0.016481  0.016831  0.004197   \n",
       "2017-01-22 18:30:00  0.016370  0.016496  0.016350  0.016496  0.004211   \n",
       "2017-01-22 19:00:00  0.016437  0.016579  0.016250  0.016360  0.004205   \n",
       "2017-01-22 19:30:00  0.016545  0.016574  0.016441  0.016441  0.004221   \n",
       "2017-01-22 20:00:00  0.016471  0.016545  0.016400  0.016500  0.004188   \n",
       "2017-01-22 20:30:00  0.016505  0.016538  0.016450  0.016500  0.004174   \n",
       "2017-01-22 21:00:00  0.016600  0.016602  0.016500  0.016505  0.004182   \n",
       "...                       ...       ...       ...       ...       ...   \n",
       "2017-07-13 09:00:00  0.072300  0.072809  0.072012  0.072809  0.019103   \n",
       "2017-07-13 09:30:00  0.072481  0.072619  0.072300  0.072425  0.019012   \n",
       "2017-07-13 10:00:00  0.071730  0.072584  0.071729  0.072481  0.019098   \n",
       "2017-07-13 10:30:00  0.071670  0.072127  0.071585  0.071730  0.019193   \n",
       "2017-07-13 11:00:00  0.072920  0.072920  0.071670  0.071771  0.019300   \n",
       "2017-07-13 11:30:00  0.073171  0.073316  0.072640  0.072640  0.019386   \n",
       "2017-07-13 12:00:00  0.073020  0.073434  0.072867  0.073170  0.019363   \n",
       "2017-07-13 12:30:00  0.073400  0.073400  0.073020  0.073070  0.019385   \n",
       "2017-07-13 13:00:00  0.073230  0.073500  0.073221  0.073400  0.019227   \n",
       "2017-07-13 13:30:00  0.073168  0.073500  0.072830  0.073230  0.019200   \n",
       "2017-07-13 14:00:00  0.072918  0.073487  0.072800  0.073193  0.019073   \n",
       "2017-07-13 14:30:00  0.072642  0.073489  0.072639  0.073000  0.019210   \n",
       "2017-07-13 15:00:00  0.072485  0.073480  0.072056  0.072642  0.019214   \n",
       "2017-07-13 15:30:00  0.071605  0.072485  0.071605  0.072298  0.019110   \n",
       "2017-07-13 16:00:00  0.072035  0.072104  0.071100  0.071605  0.019087   \n",
       "2017-07-13 16:30:00  0.072100  0.072486  0.071455  0.072033  0.019220   \n",
       "2017-07-13 17:00:00  0.072656  0.072656  0.071630  0.072100  0.019203   \n",
       "2017-07-13 17:30:00  0.072889  0.073760  0.072511  0.072635  0.019021   \n",
       "2017-07-13 18:00:00  0.072943  0.073016  0.072492  0.072610  0.019112   \n",
       "2017-07-13 18:30:00  0.072984  0.073311  0.072563  0.072563  0.019124   \n",
       "2017-07-13 19:00:00  0.072545  0.073138  0.072381  0.072984  0.019095   \n",
       "2017-07-13 19:30:00  0.071898  0.072545  0.071570  0.072545  0.019040   \n",
       "2017-07-13 20:00:00  0.071810  0.072320  0.071586  0.071586  0.019100   \n",
       "2017-07-13 20:30:00  0.072315  0.072750  0.071727  0.072091  0.019266   \n",
       "2017-07-13 21:00:00  0.072148  0.072690  0.072067  0.072315  0.019344   \n",
       "2017-07-13 21:30:00  0.072790  0.072791  0.072067  0.072148  0.019210   \n",
       "2017-07-13 22:00:00  0.072360  0.072790  0.072068  0.072500  0.019271   \n",
       "2017-07-13 22:30:00  0.072500  0.072740  0.072169  0.072169  0.019263   \n",
       "2017-07-13 23:00:00  0.072770  0.072826  0.072430  0.072500  0.019340   \n",
       "2017-07-13 23:30:00  0.072494  0.072800  0.072450  0.072770  0.019462   \n",
       "\n",
       "Pair                                                 XMRBTC            \\\n",
       "Price                    high       low      open     close      high   \n",
       "date                                                                    \n",
       "2017-01-22 06:30:00  0.004177  0.004157  0.004176  0.012963  0.013005   \n",
       "2017-01-22 07:00:00  0.004172  0.004157  0.004171  0.012973  0.013005   \n",
       "2017-01-22 07:30:00  0.004171  0.004157  0.004161  0.012995  0.013005   \n",
       "2017-01-22 08:00:00  0.004168  0.004157  0.004168  0.012950  0.013005   \n",
       "2017-01-22 08:30:00  0.004171  0.004157  0.004157  0.012957  0.012965   \n",
       "2017-01-22 09:00:00  0.004162  0.004146  0.004162  0.012900  0.013000   \n",
       "2017-01-22 09:30:00  0.004176  0.004147  0.004147  0.012847  0.012913   \n",
       "2017-01-22 10:00:00  0.004192  0.004153  0.004153  0.013000  0.013005   \n",
       "2017-01-22 10:30:00  0.004194  0.004176  0.004192  0.012960  0.013005   \n",
       "2017-01-22 11:00:00  0.004201  0.004176  0.004190  0.012893  0.012953   \n",
       "2017-01-22 11:30:00  0.004198  0.004176  0.004176  0.012973  0.012975   \n",
       "2017-01-22 12:00:00  0.004240  0.004176  0.004178  0.013130  0.013130   \n",
       "2017-01-22 12:30:00  0.004244  0.004203  0.004220  0.013125  0.013195   \n",
       "2017-01-22 13:00:00  0.004236  0.004211  0.004214  0.013100  0.013128   \n",
       "2017-01-22 13:30:00  0.004243  0.004215  0.004225  0.013100  0.013119   \n",
       "2017-01-22 14:00:00  0.004292  0.004242  0.004242  0.013170  0.013200   \n",
       "2017-01-22 14:30:00  0.004280  0.004240  0.004277  0.013140  0.013200   \n",
       "2017-01-22 15:00:00  0.004260  0.004216  0.004257  0.013133  0.013142   \n",
       "2017-01-22 15:30:00  0.004251  0.004216  0.004221  0.013060  0.013160   \n",
       "2017-01-22 16:00:00  0.004222  0.004194  0.004222  0.013160  0.013160   \n",
       "2017-01-22 16:30:00  0.004229  0.004194  0.004194  0.013162  0.013165   \n",
       "2017-01-22 17:00:00  0.004228  0.004205  0.004228  0.013172  0.013192   \n",
       "2017-01-22 17:30:00  0.004222  0.004195  0.004206  0.013162  0.013200   \n",
       "2017-01-22 18:00:00  0.004211  0.004195  0.004199  0.013156  0.013195   \n",
       "2017-01-22 18:30:00  0.004211  0.004195  0.004211  0.013135  0.013198   \n",
       "2017-01-22 19:00:00  0.004224  0.004198  0.004198  0.013100  0.013163   \n",
       "2017-01-22 19:30:00  0.004222  0.004200  0.004205  0.013091  0.013125   \n",
       "2017-01-22 20:00:00  0.004226  0.004185  0.004221  0.013065  0.013141   \n",
       "2017-01-22 20:30:00  0.004202  0.004174  0.004202  0.013071  0.013110   \n",
       "2017-01-22 21:00:00  0.004183  0.004173  0.004174  0.013051  0.013092   \n",
       "...                       ...       ...       ...       ...       ...   \n",
       "2017-07-13 09:00:00  0.019238  0.019043  0.019215  0.016200  0.016260   \n",
       "2017-07-13 09:30:00  0.019128  0.019005  0.019103  0.016214  0.016396   \n",
       "2017-07-13 10:00:00  0.019100  0.019000  0.019032  0.016263  0.016281   \n",
       "2017-07-13 10:30:00  0.019200  0.019087  0.019100  0.016304  0.016367   \n",
       "2017-07-13 11:00:00  0.019500  0.019193  0.019200  0.016382  0.016408   \n",
       "2017-07-13 11:30:00  0.019455  0.019300  0.019300  0.016490  0.016490   \n",
       "2017-07-13 12:00:00  0.019492  0.019345  0.019386  0.016433  0.016499   \n",
       "2017-07-13 12:30:00  0.019388  0.019257  0.019345  0.016441  0.016499   \n",
       "2017-07-13 13:00:00  0.019388  0.019086  0.019385  0.016410  0.016437   \n",
       "2017-07-13 13:30:00  0.019258  0.019135  0.019227  0.016351  0.016425   \n",
       "2017-07-13 14:00:00  0.019202  0.019037  0.019202  0.016306  0.016400   \n",
       "2017-07-13 14:30:00  0.019210  0.019036  0.019079  0.016306  0.016377   \n",
       "2017-07-13 15:00:00  0.019268  0.019150  0.019187  0.016120  0.016392   \n",
       "2017-07-13 15:30:00  0.019275  0.019100  0.019216  0.016027  0.016200   \n",
       "2017-07-13 16:00:00  0.019186  0.018950  0.019110  0.016020  0.016080   \n",
       "2017-07-13 16:30:00  0.019220  0.019085  0.019087  0.016030  0.016100   \n",
       "2017-07-13 17:00:00  0.019245  0.019101  0.019220  0.016229  0.016232   \n",
       "2017-07-13 17:30:00  0.019194  0.018983  0.019180  0.016057  0.016232   \n",
       "2017-07-13 18:00:00  0.019112  0.018986  0.019045  0.016128  0.016157   \n",
       "2017-07-13 18:30:00  0.019174  0.019040  0.019090  0.016389  0.016399   \n",
       "2017-07-13 19:00:00  0.019200  0.019070  0.019124  0.016366  0.016488   \n",
       "2017-07-13 19:30:00  0.019125  0.019040  0.019087  0.016305  0.016488   \n",
       "2017-07-13 20:00:00  0.019130  0.019000  0.019040  0.016180  0.016382   \n",
       "2017-07-13 20:30:00  0.019281  0.019100  0.019130  0.016281  0.016380   \n",
       "2017-07-13 21:00:00  0.019382  0.019224  0.019280  0.016360  0.016425   \n",
       "2017-07-13 21:30:00  0.019365  0.019110  0.019365  0.016348  0.016422   \n",
       "2017-07-13 22:00:00  0.019309  0.019162  0.019204  0.016348  0.016401   \n",
       "2017-07-13 22:30:00  0.019353  0.019143  0.019271  0.016269  0.016400   \n",
       "2017-07-13 23:00:00  0.019380  0.019250  0.019263  0.016260  0.016365   \n",
       "2017-07-13 23:30:00  0.019462  0.019339  0.019350  0.016289  0.016420   \n",
       "\n",
       "Pair                                     \n",
       "Price                     low      open  \n",
       "date                                     \n",
       "2017-01-22 06:30:00  0.012930  0.012974  \n",
       "2017-01-22 07:00:00  0.012930  0.012931  \n",
       "2017-01-22 07:30:00  0.012968  0.012973  \n",
       "2017-01-22 08:00:00  0.012938  0.012995  \n",
       "2017-01-22 08:30:00  0.012903  0.012950  \n",
       "2017-01-22 09:00:00  0.012880  0.012958  \n",
       "2017-01-22 09:30:00  0.012820  0.012900  \n",
       "2017-01-22 10:00:00  0.012863  0.012863  \n",
       "2017-01-22 10:30:00  0.012883  0.012982  \n",
       "2017-01-22 11:00:00  0.012847  0.012901  \n",
       "2017-01-22 11:30:00  0.012861  0.012893  \n",
       "2017-01-22 12:00:00  0.012940  0.012973  \n",
       "2017-01-22 12:30:00  0.013081  0.013130  \n",
       "2017-01-22 13:00:00  0.013083  0.013125  \n",
       "2017-01-22 13:30:00  0.013078  0.013100  \n",
       "2017-01-22 14:00:00  0.013078  0.013100  \n",
       "2017-01-22 14:30:00  0.013120  0.013200  \n",
       "2017-01-22 15:00:00  0.013074  0.013140  \n",
       "2017-01-22 15:30:00  0.013059  0.013116  \n",
       "2017-01-22 16:00:00  0.013057  0.013059  \n",
       "2017-01-22 16:30:00  0.013107  0.013140  \n",
       "2017-01-22 17:00:00  0.013162  0.013162  \n",
       "2017-01-22 17:30:00  0.013162  0.013172  \n",
       "2017-01-22 18:00:00  0.013129  0.013162  \n",
       "2017-01-22 18:30:00  0.013130  0.013156  \n",
       "2017-01-22 19:00:00  0.013086  0.013135  \n",
       "2017-01-22 19:30:00  0.013050  0.013100  \n",
       "2017-01-22 20:00:00  0.013058  0.013091  \n",
       "2017-01-22 20:30:00  0.013050  0.013065  \n",
       "2017-01-22 21:00:00  0.013033  0.013050  \n",
       "...                       ...       ...  \n",
       "2017-07-13 09:00:00  0.016151  0.016220  \n",
       "2017-07-13 09:30:00  0.016200  0.016200  \n",
       "2017-07-13 10:00:00  0.016211  0.016214  \n",
       "2017-07-13 10:30:00  0.016263  0.016279  \n",
       "2017-07-13 11:00:00  0.016304  0.016304  \n",
       "2017-07-13 11:30:00  0.016382  0.016404  \n",
       "2017-07-13 12:00:00  0.016365  0.016490  \n",
       "2017-07-13 12:30:00  0.016353  0.016499  \n",
       "2017-07-13 13:00:00  0.016337  0.016437  \n",
       "2017-07-13 13:30:00  0.016334  0.016410  \n",
       "2017-07-13 14:00:00  0.016306  0.016400  \n",
       "2017-07-13 14:30:00  0.016306  0.016306  \n",
       "2017-07-13 15:00:00  0.016046  0.016306  \n",
       "2017-07-13 15:30:00  0.015992  0.016200  \n",
       "2017-07-13 16:00:00  0.015960  0.016010  \n",
       "2017-07-13 16:30:00  0.016002  0.016070  \n",
       "2017-07-13 17:00:00  0.016115  0.016115  \n",
       "2017-07-13 17:30:00  0.016030  0.016218  \n",
       "2017-07-13 18:00:00  0.016000  0.016038  \n",
       "2017-07-13 18:30:00  0.016100  0.016110  \n",
       "2017-07-13 19:00:00  0.016300  0.016300  \n",
       "2017-07-13 19:30:00  0.016305  0.016362  \n",
       "2017-07-13 20:00:00  0.016175  0.016341  \n",
       "2017-07-13 20:30:00  0.016220  0.016318  \n",
       "2017-07-13 21:00:00  0.016281  0.016379  \n",
       "2017-07-13 21:30:00  0.016227  0.016360  \n",
       "2017-07-13 22:00:00  0.016323  0.016348  \n",
       "2017-07-13 22:30:00  0.016262  0.016348  \n",
       "2017-07-13 23:00:00  0.016260  0.016269  \n",
       "2017-07-13 23:30:00  0.016260  0.016261  \n",
       "\n",
       "[8291 rows x 12 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop cols and update multiindex\n",
    "df_train1 = df_train.drop(['volume','quoteVolume'],axis=1,level='Price')\n",
    "df_train1.columns = pd.MultiIndex.from_tuples(df_train1.columns.tolist(), names=df_train1.columns.names) # update index to remove dropped cols\n",
    "df_train1 = df_train1.sort_index(axis=1)\n",
    "\n",
    "df_test1 = df_test.drop(['volume','quoteVolume'],axis=1,level='Price')\n",
    "df_test1.columns = pd.MultiIndex.from_tuples(df_test1.columns.tolist(), names=df_test1.columns.names)\n",
    "df_test1 = df_test1.sort_index(axis=1)\n",
    "df_test1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:33:30.488887Z",
     "start_time": "2017-11-11T07:33:30.480534Z"
    }
   },
   "outputs": [],
   "source": [
    "df_train1 = df_train1.sort_index(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:33:31.497075Z",
     "start_time": "2017-11-11T07:33:31.447367Z"
    }
   },
   "outputs": [],
   "source": [
    "# save\n",
    "df_train1.to_hdf('./data/poloniex_30m.hf',key='train', mode='w', append=False)\n",
    "df_test1.to_hdf('./data/poloniex_30m.hf',key='test', mode='a', append=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:31:18.322300Z",
     "start_time": "2017-11-11T07:31:14.447227Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f72944e34a8>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IAAAAJGkbGRkZOdSH2B/r168f1/2afH/v4ci8msncmsOsmsncmsW8msncmqXJ8xrrZ/ha\nvqUTAACAdyfBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEH\nAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK\n8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAA\nihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4A\nAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGC\nDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQ\nlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEA\nABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8\nAAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICi\nBB8AAEBRgg8AAKAowQcAAFBUeysXb9u2Lb29vXn99dczY8aMLF26NJMnT95lzTe/+c38xV/8xejj\n9evX5/rrr8/ZZ5+d+++/P9/+9rczadKkJMl1112X2bNnt3IkAAAAfqSl4Ovr68vcuXOzaNGi9PX1\npa+vL1ddddUuaz7wgQ/krrvuSvKfgbhkyZJ88IMfHP391VdfnXPOOaeVYwAAALAHLd3SOTAwkAUL\nFiRJFixYkIGBgZ+4/rnnnsvP/dzP5T3veU8r2wIAADAGLb3Dt3nz5kyfPj1JMm3atGzevPknrn/6\n6adzySWX7PLco48+mr/5m7/JBz7wgVx55ZU54ogj9nhtf39/+vv7kyQ9PT3p7Oxs5eg/tfb29nHf\nk/1nXs1kbs1hVs1kbs1iXs1kbs1yOMxrn8G3YsWKbNq0abfnFy9evMvjtra2tLW17fV1hoaG8oMf\n/GCX2zmvuOKKTJs2LTt37szKlSvz5S9/OZdddtker+/u7k53d/fo440bN+7r6AdUZ2fnuO/J/jOv\nZjK35jCrZjK3ZjGvZjK3ZmnyvGbOnDmmdfsMvuXLl+/1d1OnTs3Q0FCmT5+eoaGhTJkyZa9rn332\n2Zx99tlpb//vLf/r3cEjjjgiF1xwQb7yla+M6dAAAADsW0uf4Zs3b17WrFmTJFmzZk3mz5+/17VP\nP/10zjvvvF2eGxoaSpKMjIxkYGAgXV1drRwHAACAH9PSZ/gWLVqU3t7erF69evRrGZLk5ZdfzqpV\nq3LttdcmSTZs2JCNGzfmjDPO2OX6e++9N1u2bEmSvPe9780111zTynEAAAD4MW0jIyMjh/oQ+2P9\n+vXjul+T7+89HJlXM5lbc5hVM5lbs5hXM5lbszR5XmP9DF9Lt3QCAADw7iX4AAAAihJ8AAAARQk+\nAACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBR\ngg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAA\nUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvAB\nAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoS\nfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACA\nogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8A\nAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTg\nAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAU\nJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIpqb/UF\nnn322TzxxBNZt25d7rjjjsyZM2eP655//vl84QtfyPDwcC666KIsWrQoSbJhw4bcc8892bp1a047\n7bQsWbIk7e0tHwsAAOCw1/I7fF1dXVm2bFl+9md/dq9rhoeH8+CDD+bmm29Ob29vnn766bz66qtJ\nkkceeSQLFy7Mfffdl2OOOSarV69u9UgAAADkALzDN2vWrH2ueemll3LiiSfmhBNOSJKce+65GRgY\nyMknn5xvfetbuf7665Mk559/fp544olcfPHFrR6rMb72tX/Ln2481KcAAAD+b5OT/K9L35ujjz76\nUB9lv43LvZODg4M57rjjRh8fd9xxefHFF7N169ZMmjQpEydOTJJ0dHRkcHBwj6/R39+f/v7+JElP\nT086OzsP/sF/THt7+0HZU+wBAMC707Yk/6P//8/jvz3/UB9lv40p+FasWJFNmzbt9vzixYszf/74\n/PHd3d3p7u4efbxx4/iWUmdn50HZ89Odog8AAN6NJif5XPeJ494eYzFz5swxrRtT8C1fvrylw3R0\ndOSNN94YffzGG2+ko6Mjxx57bN5888288847mThxYgYHB9PR0dHSXk3zy7/8M/nlQ32Igg5WoHNw\nmVtzmFUzmVuzmFczmVuzHA7zGpevZZgzZ05ee+21bNiwITt37swzzzyTefPmpa2tLWeeeWaee+65\nJMmTTz6ZefPmjceRAAAAyms5+NauXZtrr7023/3ud9PT05Pbb789yX9+bu+P//iPkyQTJ07Mpz71\nqdx+++1ZunRpPvrRj6arqytJcuWVV+arX/1qlixZkm3btuXCCy9s9UgAAAAkaRsZGRk51IfYH+vX\nrx/X/Q6Ht3srMa9mMrfmMKtmMrdmMa9mMrdmafK8xvoZvnG5pRMAAIDxJ/gAAACKEnwAAABFCT4A\nAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGC\nDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQ\nlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEA\nABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8\nAAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICi\nBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAA\noCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOAD\nAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl\n+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFNXeysXPPvtsnnji\niaxbty533HFH5syZs9uajRs35v7778+mTZvS1taW7u7u/Oqv/mqS5PHHH8/Xv/71TJkyJUly+eWX\n58Mf/nArRwIAAOBHWgq+rq6uLFu2LA888MBe10ycODFXX311TjvttLz11lu58cYbc9ZZZ2XWrFlJ\nkoULF+bjH/94K8cAAABgD1oKvv+Ktp9k+vTpmT59epLk6KOPzsknn5zBwcExXQsAAMD+ayn4flob\nNmzI97///bzvfe8bfe5rX/tannrqqZx22mn5xCc+kcmTJ4/nkQAAAMpqGxkZGflJC1asWJFNmzbt\n9vzixYszf/78JMltt92Wq6++eo+f4fsv27dvz6233ppLL700H/nIR5IkmzZtGv383mOPPZahoaF8\n+tOf3uP1/f396e/vT5L09PTkP/7jP8bw5x047e3t2blz57juyf4zr2Yyt+Ywq2Yyt2Yxr2Yyt2Zp\n8ryOPPLIMa3b5zt8y5cvb/kwO3fuzOc+97n84i/+4mjsJcm0adNGf77oooty55137vU1uru7093d\nPfp448aNLZ/rp9HZ2Tnue7L/zKuZzK05zKqZzK1ZzKuZzK1ZmjyvmTNnjmndQf9ahpGRkfzZn/1Z\nTj755FxyySW7/G5oaGj057Vr16arq+tgHwcAAOCw0dJn+NauXZuHHnooW7ZsSU9PT2bPnp1bbrkl\ng4ODWblyZW666aZ85zvfyVNPPZVTTjklf/AHf5Dkv79+4ZFHHskrr7yStra2zJgxI9dcc80B+aMA\nAAAYw2f43q3Wr18/rvs1+e3ew5F5NZO5NYdZNZO5NYt5NZO5NUuT5/WuuaUTAACAQ0PwAQAAFCX4\nAAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABF\nCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAA\nQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEH\nAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK\n8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAA\nihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4A\nAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGC\nDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQ\nlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEA\nABTV3srFzz77bJ544omsW7cud9xxR+bMmbPHddddd12OOuqoTJgwIRMnTkxPT0+SZNu2bent7c3r\nr7+eGTNmZOnSpZk8eXIrRwIAAOBHWgq+rq6uLFu2LA888MA+1956662ZMmXKLs/19fVl7ty5WbRo\nUfr6+tLX15errrqqlSMBAADwIy3d0jlr1qzMnDlzv68fGBjIggULkiQLFizIwMBAK8cBAADgx7T0\nDt9P4/bbb0+SfOxjH0t3d3eSZPPmzZk+fXqSZNq0adm8efNer+/v709/f3+SpKenJ52dnQf5xLtq\nb28f9z3Zf+bVTObWHGbVTObWLObVTObWLIfDvPYZfCtWrMimTZt2e37x4sWZP3/+mDZZsWJFOjo6\nsnnz5vzRH/1RZs6cmTPOOGOXNW1tbWlra9vra3R3d4+GYpJs3LhxTHsfKJ2dneO+J/vPvJrJ3JrD\nrJrJ3JrFvJrJ3JqlyfMa652W+wy+5cuXt3yYjo6OJMnUqVMzf/78vPTSSznjjDMyderUDA0NZfr0\n6RkaGtrtM34AAADsv4P+tQzbt2/PW2+9NfrzCy+8kFNOOSVJMm/evKxZsyZJsmbNmjG/YwgAAMC+\ntfQZvrVr1+ahhx7Kli1b0tPTk9mzZ+eWW27J4OBgVq5cmZtuuimbN2/O3XffnSR555138gu/8Av5\n0Ic+lCRYih1OAAAdB0lEQVRZtGhRent7s3r16tGvZQAAAODAaBsZGRk51IfYH+vXrx/X/Zp8f+/h\nyLyaydyaw6yaydyaxbyaydyapcnzGutn+A76LZ0AAAAcGoIPAACgKMEHAABQlOADAAAoSvABAAAU\nJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAA\nAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQf\nAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAo\nwQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAA\nKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgA\nAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJ\nPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABA\nUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcA\nAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoKj2Vi5+9tln88QTT2Td\nunW54447MmfOnN3WrF+/Pr29vaOPN2zYkN/8zd/MwoUL8/jjj+frX/96pkyZkiS5/PLL8+EPf7iV\nIwEAAPAjLQVfV1dXli1blgceeGCva2bOnJm77rorSTI8PJzf/d3fzdlnnz36+4ULF+bjH/94K8cA\nAABgD1oKvlmzZv1U6//lX/4lJ554YmbMmNHKtgAAAIxBS8H303r66adz3nnn7fLc1772tTz11FM5\n7bTT8olPfCKTJ0/e47X9/f3p7+9PkvT09KSzs/Ogn/fHtbe3j/ue7D/zaiZzaw6zaiZzaxbzaiZz\na5bDYV77DL4VK1Zk06ZNuz2/ePHizJ8/f8wb7dy5M//8z/+cK664YvS5iy++OJdddlmS5LHHHstf\n/uVf5tOf/vQer+/u7k53d/fo440bN4557wOhs7Nz3Pdk/5lXM5lbc5hVM5lbs5hXM5lbszR5XjNn\nzhzTun0G3/Lly1s+TJJ84xvfyKmnnppp06aNPvfjP1900UW58847D8heAAAAjOPXMuzpds6hoaHR\nn9euXZuurq7xOg4AAEB5LX2Gb+3atXnooYeyZcuW9PT0ZPbs2bnlllsyODiYlStX5qabbkqSbN++\nPS+88EKuueaaXa5/5JFH8sorr6StrS0zZszY7fcAAADsv7aRkZGRQ32I/bF+/fpx3a/J9/cejsyr\nmcytOcyqmcytWcyrmcytWZo8r7F+hm/cbukEAABgfAk+AACAogQfAABAUYIPAACgKMEHAABQlOAD\nAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl\n+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAA\nRQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8A\nAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAAAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjB\nBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+AACAogQfAABAUYIPAACgKMEHAABQlOADAAAo\nSvABAAAUJfgAAACKEnwAAABFCT4AAICiBB8AAEBRgg8AAKAowQcAAFCU4AMAAChK8AEAABQl+AAA\nAIoSfAAAAEUJPgAAgKIEHwAAQFGCDwAAoCjBBwAAUJTgAwAAKErwAQAAFCX4AAAAihJ8AAAARQk+\nAACAogQfAABAUYIPAACgKMEHAABQlOADAAAoSvABAAAUJfgAAACKaj/UBzhQRkZGsn379gwPD6et\nre2Av/4Pf/jDvP322wf8dd9tRkZGMmHChBx11FEH5d8RAAAYP2WCb/v27TniiCPS3n5w/qT29vZM\nnDjxoLz2u83OnTuzffv2HH300Yf6KAAAQAvK3NI5PDx80GLvcNPe3p7h4eFDfQwAAKBFZYLP7YcH\nln9PAABoPm+JHUCnn356XnzxxdHHvb29+bu/+7skyb/927/lZ37mZ5IkV155ZT75yU/msccey8qV\nK9PW1pb29vb8+q//eq655posWbIkAwMDOfbYY/P222/n0ksvzQ033JBPfvKTWbduXd5888288cYb\n6erqSpLceeedmTt3bu688878/d//fSZPnpz3vOc9+cxnPpPzzz9/3P8dAACAdwfBdxAtXbo0S5cu\nzc6dOzN37tysWrVq9HerVq3Kww8/nC9+8Ys5/vjjs3379vzt3/7t6O9vu+22/Mqv/EreeuutLFiw\nIL/xG7+Rhx9+OEny1FNP5eGHH85DDz00uv6zn/1sNm3alH/4h3/IkUcemQ0bNmTt2rXj9rcCAADv\nPoLvELnvvvty66235vjjj0+SHHXUUbniiit2W7d9+/a0tbX9xP9AZdu2bXn88cfzj//4jznyyCOT\nJMcff3wuueSSg3N4AACgEcp8hq9pvvvd7+ass87a6+9vu+22fOxjH8v8+fNz2WWXpaOjY69rv//9\n7+eUU07JMcccczCOCgAANNRhHXwjIyMZ+cHLGRkZOdRH2c1tt92WVatW5fnnn8/q1avzjW9841Af\nCQAAaJjDOvjyv7+X4Z4/TP7398Z969NPPz0vvPDCPtdNnjw555xzzk/8PN6pp56aH/zgB/n3f//3\nA3lEAACg4VoOvr/6q7/KDTfckGXLluWuu+7aa3Q8//zzuf7667NkyZL09fWNPr9hw4bcfPPNWbJk\nSXp7e7Nz585WjzR2Xadlwo13Jl2njd+eP7JkyZKsWLEir7/+epLk7bffzqOPPrrbuh07duT555/P\n7Nmz9/pakydPzmWXXZZbb701O3bsSJJs3LgxX/3qVw/K2QEAgGZoOfjOOuusfO5zn8vdd9+dk046\nKV/60pd2WzM8PJwHH3wwN998c3p7e/N/2rv/4Cjq+4/jz0si+Q3kB6BcMQ0KUttSVKhBfphADssP\nMXVSFKGSKlgEh5E2g4Bpxg4x8kNESusEKGNrpHTGGSFm6FjBGKkJ0RSIpVgt1ICRaEJyJCTNJeTI\nfv+g3NcYDIHswe3d6zHDjHe799n97MvPcW9297MlJSV8/vnnALz66qtMnz6dTZs2ERkZSVFRUW93\nqcdsNhu2G28y7ZlzLpeLO+64w/Nn8+bN37julClTmDt3LrNmzSIlJYWpU6d2KpYv3MOXmprK97//\nfaZMmdLttleuXEnfvn1JTk5m8uTJZGRk0LdvX1P6JSIiIiIi1mQzTLyB7YMPPqCsrIwlS5Z0ev/f\n//43r732Gk8//TSApyhMS0tj/vz5bNmyheDg4C7rdae6urrT65aWFiIiIkzqSVchISFX9+zjNeaN\n49nW1sZbu1ymtikiIiIi4k2pM0O7nTH/Whk8eHCP1jP1sQxFRUXcddddXd53Op3ExcV5XsfFxXH0\n6FGampqIiIggODgYgNjYWJxO50Xb3rt3L3v37gVg9erVxMfHd1peU1NDSIh3nzLh7fZ9SWhoaJdj\n3FuFr31mansiIiIiIt5W9o6bnzxs7u/iq6lHFcyqVatoaGjo8v6DDz7ImDFjAHj99dcJDg5mwoQJ\n5u7h/6SmppKamup5XVdX12l5W1ubp3D0hkA7w9fW1tblGPfW7XcF89auS68nIiIiIuIrklJCTP9d\nbAZTz/D96le/6nZ5cXExBw4cIDs7+6L3w8XGxlJfX+95XV9fT2xsLNHR0bS0tHDu3DmCg4NxOp3d\nPm9OrC00NJR7Hwi9KtuKj4/3yYEp3VNu1qGsrEm5WYvysiblZi2BkFevJ22pqKigoKCAp556itDQ\ni/+Yv+mmm/jiiy+ora3F7XZTWlrK6NGjsdlsfPe736WsrAw4XziOHj26t7skIiIiIiIimHAP37Zt\n23C73axatQo4/3y5xx57DKfTyebNm1mxYgXBwcE88sgjPPvss3R0dJCSksKQIUMAmDNnDi+++CJ/\n/vOfSUxMZNKkSb3dJREREREREcHkWTqvJs3S6V3ePp7eFgin5/2RcrMOZWVNys1alJc1KTdrsXJe\n12SWzkA3ZMgQRowYgdvtJjg4mPT0dB577DGCgv7/ytns7Gx2795NeXm55/1Tp07xy1/+kurqatxu\nN0OGDCE/P5+qqirmzZvX6dmE69evJzIykoULF/Lkk09SVlZGdHQ0bW1tpKWl8Ytf/IJHH32Uzz77\njJaWFurr6z1nU3Nzcxk1ahTr1q1j9+7dREVF0adPH5YuXaozqyIiIiIifkgFn4nCwsLYs2cPcH4W\n0cWLF9Pc3ExmZiZw/gH0b775JjfccAP79+9n3LhxAKxbt46JEycyf/58AD766KMebzMrK4sZM2bQ\n2tpKSkoK6enpbNu2DYDS0lLy8vJ45ZVXPOvn5uZSU1NDUVERoaGhnDp1iv3795vSfxERERER8S29\nnrRFLi4+Pp61a9fy8ssvc+Gq2dLSUm655RYefvhhCgoKPOvW1tZyww03eF7feuutl729trY2gG4v\nw3S5XGzfvp2cnBzPBDsDBgxg5syZl709ERERERHxfSr4vCghIYGOjg7PdcEFBQXcd999TJ06lbff\nfpv29nYAMjIyyMzMJD09nY0bN/Lll1962jhx4gQOh8PzJz8/v9M2cnJycDgcjB49mpkzZ3b7sPTK\nykrsdjvR0dFe6K2IiIiIiPiagC74DMPgU2crV2PemrNnz1JUVMSPfvQjoqOjue222yguLgYgOTmZ\n0tJS5syZw7Fjx7jnnns8zy1MSEhgz549nj8//elPO7WblZXFnj17qKiooKSkhPLycq/3RURERERE\nrCGgC77K02089dYJKk+3eaX9EydOEBQURHx8PMXFxTQ2NjJ58mTuvPNOPvjgg06XdcbExPDjH/+Y\nTZs28YMf/MDzbMKeioyMZOzYsd0WfImJiZw8eZKmpqYr7pOIiIiIiFhHQBd8iTGhrJmSQGLMxR8Y\n3xv19fUsX76cn/3sZ9hsNgoKCnj++ed5//33ef/99ykrK2Pfvn24XC7ee+89XC4XAM3NzZw4cQK7\n3X5Z23O73Rw6dIiEhIRvXCc8PJzZs2eTnZ3N2bNnPftZWFh45R0VERERERGfFdCzdNpsNobGhpnW\nXmtrKw6Ho8tjGVwuF8XFxaxevdqzbkREBD/84Q956623qK6uJisri5CQEDo6Opg9ezajRo2iqqrq\nktvMyclh48aNtLe3M378eKZNm9bt+suWLWPt2rWkpKQQGhpKRESEZxZRERERERHxL3rweg/pwevW\nYuWHaAYy5WYdysqalJu1KC9rUm7WYuW8evrg9YC+pFNERERERMSfqeATERERERHxUyr4RERERERE\n/JQKPhERERERET+lgk9ERERERMRPqeATERERERHxUyr4THLy5EmSkpI4ffo0AA0NDSQlJVFVVYXd\nbmfNmjWedZ1OJwkJCTz99NMArF+/njvuuAOHw0FycjK7du3yrPvkk0+SlJSEw+Fg4sSJvPDCCwA8\n+uijOBwOxo0bx4gRI3A4HDgcDsrLy2lvbyc3N5dx48Zxzz33cO+991JUVHQVj4aIiIiIiPiCgH7w\nupnsdjsPP/wwzz33HGvXriU3N5c5c+YAcOONN/L222/z1FNPAVBYWMjw4cM7fX7BggUsXLiQTz/9\nlKlTpzJ9+nSuu+46ALKyspgxYwatra2kpKSQnp7Otm3bACgtLSUvL49XXnnF01Zubi41NTUUFRUR\nGhrKqVOn2L9//9U4DCIiIiIi4kN0hs9ECxYs4ODBg2zdupXy8nIWLlwIQHh4OMOGDePDDz8Ezhd8\n995770XbGDp0KOHh4TQ2NnZZ1tbWBtDtA9FdLhfbt28nJyeH0NBQAAYMGMDMmTN71TcREREREbEe\nneEz0XXXXUdWVhZz5sxhx44dnjN0APfddx8FBQXEx8cTFBTEoEGDqKmp6dLG4cOHSUxMJD4+3vNe\nTk4OGzdu5Pjx4zzyyCOdln1dZWUldrud6OhoczsnIiIiIiKWE9Bn+AzDoPG0G8MwTGuzqKiIQYMG\n8fHHH3d6Pzk5mX379vHGG29c9Gzb1q1bSUlJYcaMGSxZsqTTsqysLPbs2UNFRQUlJSWUl5ebtr8i\nIiIiIuK/ArrgO9NwjvfebuZMwzlT2vvnP//J3/72NwoLC9m6dWunM3h9+vRh5MiRbN68menTp3f5\n7IIFC3jnnXfYunUrmZmZtLa2dlknMjKSsWPHdlvwJSYmcvLkSZqamkzpk4iIiIiIWFdAF3x9+wcz\nfnIUffsH97otwzBYsWIFv/71r7Hb7Tz++OOsWrWq0zo///nPWblyJTExMd/YzpQpUxg5ciSvvfZa\nl2Vut5tDhw6RkJDwjZ8PDw9n9uzZZGdnc/bsWQDq6+spLCy8wp6JiIiIiIhVBXTBZ7PZ6BcTgs1m\n63Vb27dvx263M3HiRADmzZvH0aNH+fzzzz3r3HLLLcyaNeuSbS1dupQtW7bQ0dEBnL+Hz+FwkJqa\nyogRI5g2bVq3n1+2bBlxcXGkpKQwadIk5s2bp3v6REREREQCkM0w8wa2q6i6urrT65aWlm5nr+yt\nkJAQ3G6319r3Nd4+nt4WHx9PXV3dtd4NuUzKzTqUlTUpN2tRXtak3KzFynkNHjy4R+sF9Bk+ERER\nERERf6aCT0RERERExE+p4BMREREREfFTflPwWfRWRJ+l4ykiIiIiYn1+U/AFBQUF1KQq3uR2uwkK\n8pv/NUREREREAlbItd4Bs4SFhdHa2kpbW5spj1n4utDQUNra2kxv19cYhkFQUBBhYWHXeldERERE\nRKSX/Kbgs9lshIeHe619K0/ZKiIiIiIigUnX7YmIiIiIiPgpFXwiIiIiIiJ+SgWfiIiIiIiIn7IZ\nmn9fRERERETEL+kMXw8tX778Wu+CXAblZU3KzTqUlTUpN2tRXtak3KwlEPJSwSciIiIiIuKnVPCJ\niIiIiIj4qeBnnnnmmWu9E1YxdOjQa70LchmUlzUpN+tQVtak3KxFeVmTcrMWf89Lk7aIiIiIiIj4\nKV3SKSIiIiIi4qdCrvUOeEtdXR2/+93vaGhowGazkZqayrRp02hubmbDhg2cOnWKAQMGsHTpUqKi\nojh58iQvvfQSlZWVPPjgg8ycObNTex0dHSxfvpzY2NhvnM2nuLiY119/HYD777+f5ORkAHbs2MG+\nfftobm4mPz/fq/22Kl/Jy+VykZ2d7VnH6XQyYcIEMjIyvNZ3qzIzs8WLFxMWFkZQUBDBwcGsXr36\notusqKjg5ZdfpqOjg8mTJ5OWlgbAm2++ye7du6mpqeH3v/89ffv2vSrHwEp8Ka/s7GxcLhcAZ86c\n4aabbmLZsmXePwgWZGZu//3vf8nLy6Oqqgqbzcbjjz/O8OHDu2xT4+zK+VJeGmc9Z1Zu1dXVbNiw\nwdNubW0ts2bNYvr06V22qXF25XwpL8uMM8NPOZ1O4z//+Y9hGIbR0tJiLFmyxKiqqjLy8/ONnTt3\nGoZhGDt37jTy8/MNwzCMhoYG4+jRo8af/vQno6CgoEt7hYWFxosvvmg899xzF91eU1OTsXjxYqOp\nqanTfxuGYXzyySeG0+k05s6d642u+gVfyuurli1bZhw5csSsbvoVMzNbtGiR0djY2O32zp07Zzzx\nxBPGl19+abS3txuZmZlGVVWVYRiG8emnnxo1NTU9aidQ+VJeX7Vu3TqjuLjYjC76JTNz27Rpk7F3\n717DMAyjvb3daG5u7rI9jbPe8aW8vkrjrHtm/wYxjPPZzJ8/36itrb3oMo2zK+dLeX2VL48zv72k\nMyYmxnMDZnh4OHa7HafTSXl5OXfffTcAd999N+Xl5QD069ePm2++meDg4C5t1dfXc/DgQSZPnvyN\n26uoqGDkyJFERUURFRXFyJEjqaioAGD48OHExMSY3UW/4kt5XVBdXc2ZM2f4zne+Y1Y3/YqZmfXE\nsWPHuP766xk0aBAhISHcddddnrYTExMZOHCgCb3yX76U1wUtLS0cOXKEMWPG9KJn/s2s3FpaWvjX\nv/7FpEmTAAgJCSEyMrLL9jTOeseX8vpqWxpn3fPG9+Phw4e5/vrrGTBgQJdlGme940t5XeDr48xv\nL+n8qtraWiorK7n55ptpbGz0FF/9+/ensbHxkp//wx/+wNy5cz2nbC/G6XQSFxfneR0bG4vT6ez9\nzgcgX8mrtLSUsWPHYrPZrrAngaO3mQE8++yzADgcDlJTU7ss/3pmcXFxHD161IS9Dzy+kld5eTnf\n+973iIiIuNKuBJTe5FZbW0vfvn156aWXOHHiBEOHDiUjI4OwsLBO62mcmcdX8tI4uzxmfD8ClJSU\nMG7cuIsu0zgzj6/k5evjzG/P8F3Q2trK+vXrycjI6BKCzWa75I/5AwcO0K9fP7+frtVX+FJeJSUl\njB8/vtft+LveZgawatUq1qxZw8qVK/nrX//KRx995K3dDXi+lFd3f8FKZ73N7dy5c1RWVjJlyhTW\nrl1LaGgou3bt8uYuBzRfykvjrOfM+H4EcLvdHDhwgKSkJG/spvyPL+Xl6+PMr8/wud1u1q9fz4QJ\nE7jzzjuB86d1T58+TUxMDKdPn77kzbCffPIJf//73zl06BBnz57F5XLxm9/8hqlTp7JlyxYAHnjg\nAWJjYzv96HE6ndx6663e65wf8qW8jh8/TkdHhwr9SzAjMzh/hvXCZ8eMGcOxY8cYOHAga9asAc6f\nRfr2t79NfX295zP19fWez0nP+FJeZ86c4dixY2RmZprZRb9kRm5xcXHExcUxbNgwAJKSkti1axd1\ndXUaZybzpbw0znrOrO9HgEOHDpGYmEj//v0BNM68wJfyssI489uCzzAM8vLysNvtzJgxw/P+6NGj\neffdd0lLS+Pdd9+95LW2Dz30EA899BAAR44cobCwkCVLlgCwbt06z3rNzc3s2LGD5uZmAD788EPP\n5+TSfC0vX/+XGl9gVmatra0YhkF4eDitra384x//ID09nfj4+E6ZnTt3ji+++ILa2lpiY2MpLS31\nZCuX5mt5lZWVcfvtt9OnTx/zO+tHzMqtf//+xMXFUV1dzeDBgzl8+DDf+ta3NM5M5mt5aZz1jFm5\nXfD13xAaZ+bytbysMM789sHrH3/8MdnZ2dx4442eU7qzZ89m2LBhbNiwgbq6uk5TtjY0NLB8+XJc\nLhc2m42wsDBeeOGFTqeILxQQ3zTNf1FRETt37gTOT/OfkpICwKuvvsp7773n+VeHSZMmMWvWLC8f\nAWvxpbwAnnjiCVasWIHdbvdir63NrMyampp4/vnngfNfquPHj+f++++/6DYPHjzIH//4Rzo6OkhJ\nSfGs95e//IU33niDhoYG+vXrx2233cbChQuvzoGwCF/KC+CZZ54hLS2NUaNGeb/zFmbmd+Px48fJ\ny8vD7XYzcOBAFi1aRFRUVJdtapxdOV/KCzTOesrM3FpbW1m0aBG//e1vu72fS+PsyvlSXmCNcea3\nBZ+IiIiIiEig8/tJW0RERERERAKVCj4RERERERE/pYJPRERERETET6ngExERERER8VMq+ERERERE\nRPyUCj4RERERERE/pYJPRERERETET6ngExERERER8VP/B2aCT+fPghoGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f72944f8470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# view timeseries\n",
    "plt.figure(figsize=(15,16))\n",
    "for i, d in enumerate(dfs1):\n",
    "    name = d.name\n",
    "    x=d.dropna().index\n",
    "    y=[-i]*len(x)\n",
    "    plt.scatter(x,y,label=name[:20], s=1)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:10:43.943684Z",
     "start_time": "2017-11-11T07:10:43.600846Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9c9419bfd0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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o1qp9tf6v62YtrrW6GCdxEeXGAJaIiEqi9biCRMwoeg3sYKyJWQAwfZYbCxf7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MAAAg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\nGOkjQgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9c941751d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# View one day, normalized\n",
    "data_window = df[1000:2000].copy()\n",
    "open = data_window.xs('open', axis=1, level='Price')\n",
    "data_window = data_window.divide(open.iloc[-1], level='Pair')\n",
    "data_window = data_window.drop('open', axis=1, level='Price')\n",
    "data_window.xs('close', axis=1, level='Price').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-11-11T07:10:54.468148Z",
     "start_time": "2017-11-11T07:10:43.945502Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f9c8d3164a8>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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W5uXKHAAAQEFiDgAAoCAxBwAAUJCYAwAAKEjMAQAAFCTmAAAAChJzAAAABYk5AACAgsQc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\nPvzwQ0nSli1btG/fPr3wwguu9s8884y6deum3Nx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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9c8d315b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# view timeseries\n",
    "plt.figure(figsize=(15,16))\n",
    "for i, d in enumerate(dfs):\n",
    "    name = d.name\n",
    "    x=d.dropna().index\n",
    "    y=[-i]*len(x)\n",
    "    plt.scatter(x,y,label=name[:20], s=1)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "jupyter3",
   "language": "python",
   "name": "jupyter3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  },
  "toc": {
   "colors": {
    "hover_highlight": "#DAA520",
    "navigate_num": "#000000",
    "navigate_text": "#333333",
    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700",
    "sidebar_border": "#EEEEEE",
    "wrapper_background": "#FFFFFF"
   },
   "moveMenuLeft": true,
   "nav_menu": {
    "height": "12px",
    "width": "252px"
   },
   "navigate_menu": true,
   "number_sections": true,
   "sideBar": true,
   "threshold": 4,
   "toc_cell": false,
   "toc_section_display": "block",
   "toc_window_display": false,
   "widenNotebook": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
